Journal Metrics

spektrumiran.com/journal/metrics

    Volumes 9
    Issues 19
    Number of Manuscripts 184
    Number of Downloads 49,331
    Authors 210
    Visibility 66,531
    Submitted Papers 77
    Rejected Papers 4
    Rejection Percentage 5
    Accepted Papers 55
    Acceptance Rate 71
    Acceptance time 82
    Indexing Databases 14
    Reviewers 97

 

 

SPEKTRUM IRAN (SPIR) is a double-blind peer-reviewed, open-access journal published biannually in both electronic and print formats. Established in 1988, the journal provides a scholarly forum for interdisciplinary research on Iran, the Persianate world, and Islamic-Iranian civilization.

The journal welcomes original research articles that examine the historical, archaeological, cultural, religious, philosophical, literary, artistic, linguistic, and social dimensions of Iran and the Persianate world, as well as their regional and global interactions. It particularly encourages interdisciplinary and comparative approaches that contribute to a deeper understanding of Iranian and Persianate societies, cultures, intellectual traditions, and their historical and contemporary significance.

While these areas constitute the journal's principal scope, submissions addressing other topics relevant to Iranian and Persianate studies are also welcome, provided they demonstrate clear scholarly relevance and make an original contribution to the field.

 

              

 

Dual-spacization of intelligence: A theoretical retroduction of the socialization of artificial intelligence in meaning construction

Pages 1-30

https://doi.org/10.22034/spektrum.2026.565209.1055

Manijeh Akhavan, Saied Reza Ameli, Maseud Rahgozar, Shahghasemi Shahghasemi

Abstract Nearly five decades after Hubert Dreyfus underscored the importance of accounting for the social character of intelligence in the development of artificial intelligence, practical implementations have progressed more rapidly than corresponding theoretical inquiry. This remains the case notwithstanding artificial intelligence’s consolidation as an actant within the news media. Because the capacity for meaning-making within a social institution presupposes the socialization of a cognitive system, the socialization of artificial intelligence may be examined along a trajectory comparable to that of human forms of natural intelligence. On this basis, the present article investigates the processes through which AI becomes socialized so as to assume a meaning-making role within a social institution such as the news media, addressing the central question: What constitutes socialized artificial intelligence? To this end, the study integrates the Dual-spacization of Intelligence with representation theory within a socio-organizational framework and adopts a retroductive theoretical approach to address the research question. Within this analysis, social order is understood as a function of AI’s socialization process. The dual-spacization of the world consequently gives rise to a dual-spatial social order. The study’s findings suggest that AI may either be engineered to replicate existing forms of knowledge and entrenched social stereotypes in a manner analogous to human cognition, or be subject to social regulation that fosters an algorithmic rationality oriented toward the common good and toward a sustainable and just social order. Such an order depends on opening representational practices through reflexive engagement with social stereotypes, enabling transformations in representation and supporting increased diversity of identities. The contribution of this article lies in proposing an integrated model for understanding the mechanisms of AI socialization across meaning-producing social institutions. Furthermore, the model offers a comprehensive perspective on the socialization of both natural and artificial cognitive systems within the evolving structures of dual-spatial institutional social orders.

Semantic sovereignty in the age of artificial intelligence: The Persian language, meaning, and cultural self-determination

Pages 31-60

https://doi.org/10.22034/spektrum.2026.556925.1044

Mohsen Karami

Abstract The rapid proliferation of large language models and text-generative systems has precipitated not only technological transformation but also an epistemic reconfiguration of how meaning is produced and circulated. This paper diagnoses a specific risk facing Persian: the attenuation and potential displacement of its cultural-semantic horizon within globalized, predominantly English-language AI infrastructures. The objective is both analytic and diagnostic: to delineate the conceptual grounds of 'semantic sovereignty' and to map the structural pathways through which contemporary AI practices endanger Persian meanings, metaphors, and hermeneutic traditions. The study combines conceptual-philosophical analysis (philosophy of language, hermeneutics, phenomenology) with a critical reading of current AI training regimes and data ecologies. It employs analytic conceptual synthesis rather than empirical intervention: the analysis traces theoretical presuppositions (Wittgensteinian ‘meaning as use’, Gadamerian horizons, Davidsonian triangulation, Floridi’s information ethics) and maps them onto the material practices of dataset curation, model training, and platform mediation. The paper identifies multiple, mutually reinforcing mechanisms by which AI systems produce semantic asymmetry: corpus bias and representational scarcity; algorithmic translation that restructures non-English semantic networks into English-dominant vector spaces; infrastructural mediation that repositions Persian cultural artifacts as data points divorced from their hermeneutic contexts; and epistemic filtering enacted by recommender and retrieval systems that privilege certain forms of explicability over opacity and singularity. Collectively, these mechanisms instantiate what I term the ‘phenomenological extinction’ of a language’s world-disclosing power. The phenomenon at stake is not mere lexical loss but an ontological impoverishment: a contraction of Persian’s capacity to disclose distinctive modes of being. Recognizing this risk requires conceptual clarity about semantic sovereignty as a diagnostic category. This paper stops short of prescribing remedial policies; instead, it aims to provide a rigorous philosophical staging of the problem so that subsequent scholarship and public discourse can assess the depth, modalities, and stakes of Persian’s semantic endangerment.

AI as a boundary object: The Persian X discourse

Pages 61-82

https://doi.org/10.22034/spektrum.2026.569202.1059

Shaho Sabbar

Abstract This study investigates how Persian-speaking users on the social media platform X engage with generative artificial intelligence as a sociotechnical and discursive phenomenon. Drawing on a dataset of 24,215 Persian-language posts, we employ a multi-label topic modeling framework and affective profiling to analyze public discourse surrounding AI tools, their perceived implications, and normative judgments about their use. Rather than treating sentiment as a static indicator of opinion, we interpret affective expression as a communicative act shaped by platform incentives and cultural context. Our findings show that AI is positioned not only as a technical artifact but as a boundary object entangled with debates over expertise, ethics, and institutional legitimacy. The discourse is anchored in practical concerns—especially labor, education, and tool comparisons—but frequently extends into culturally specific narratives about risk, fairness, and epistemic authority. Emotionally, the conversation is marked by pragmatic positivity, critical intensity, and a sizable neutral band reflecting orientation rather than evaluation. This study contributes to ongoing debates in communication, AI ethics, and platform studies by offering a non-Anglophone, culturally grounded analysis of how publics perform vernacular governance over emerging technologies. Emotionally, the conversation is marked by pragmatic positivity, critical intensity, and a sizable neutral band reflecting orientation rather than evaluation. This study contributes to ongoing debates in communication, AI ethics, and platform studies by offering a non-Anglophone, culturally grounded analysis of how publics perform vernacular governance over emerging technologies. Drawing on a dataset of 24,215 Persian-language posts, we employ a multi-label topic modeling framework and affective profiling to analyze public discourse surrounding AI tools, their perceived implications, and normative judgments about their use.

AI and interpersonal relationships in Iran: Cultural and social challenges

Pages 83-113

https://doi.org/10.22034/spektrum.2026.554746.1043

Shahnaz Khademizadeh, Samuel Clarke, Zeinab Mohammadi

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on interpersonal relationships within Iranian society, highlighting the cultural, social, and psychological challenges emerging from the rapid adoption of AI technologies. As tools such as virtual assistants, social media algorithms, and AI-driven communication platforms become embedded in daily life, they are reshaping patterns of interaction, emotional engagement, and cultural norms. Drawing on twelve semi-structured interviews analyzed through a qualitative-dominant mixed-methods approach, including thematic analysis, intercoder reliability checks, and cross-case comparison, the research identifies a dual narrative: AI enhances communication, productivity, and daily convenience, yet simultaneously undermines face-to-face engagement, emotional bonds, and traditional social practices central to Iranian culture. Findings reveal growing concerns about weakened family and community ties, reduced social skills, dependency on intelligent systems, and generational gaps in digital adaptation. Participants also noted broader cultural shifts, including the rise of virtual lifestyles, threats to cultural identity, and increased social inequality driven by uneven access to AI tools. The study further identifies psychological risks such as loneliness, superficial online connections, diminished empathy, and the perceived decline of emotional intelligence as individuals increasingly interact with algorithmic systems. At the societal level, privacy, data governance, and ethical challenges create additional pressures that shape public trust and relational dynamics. The study contributes to national and international debates on human–AI interaction by demonstrating how global technologies interact with local cultural contexts. It argues that balancing technological innovation with the preservation of Iranian social values is essential to ensuring that AI strengthens rather than erodes the foundations of meaningful human relationships.

The transformative role of artificial intelligence in media data analysis for crisis management

Pages 115-142

https://doi.org/10.22034/spektrum.2025.563353.1051

Hatef Pourrashidi Alibigloo, Mehran Samadi

Abstract In the contemporary landscape of crisis management, decision-makers are increasingly overwhelmed by the sheer volume, velocity, and variety of media data generated during emergencies. Traditional manual analytical methods are often insufficient to process this influx effectively, necessitating a paradigm shift toward advanced computational approaches. The primary goal of this study is to bridge the gap between technical data science and practical crisis communication by establishing a clear analytical link between specific machine learning (ML) paradigms and their operational capabilities. This article utilizes a narrative review methodology, underpinned by a theoretical framework grounded in machine learning. The study systematically synthesizes existing literature to categorize and analyze how distinct ML architectures—specifically supervised, unsupervised, and deep learning—are applied within the domain of media data analysis to support decision-making processes during crises. The analysis confirms that artificial intelligence significantly enhances crisis management effectiveness by automating media monitoring and generating actionable real-time insights. The findings delineate specific roles for different algorithms: supervised learning serves as the theoretical foundation for rapid misinformation detection and precise crisis classification. Conversely, unsupervised learning and deep learning are identified as critical tools for detecting data anomalies and recognizing emerging patterns, which are essential for the functionality of proactive early warning systems. While AI offers transformative potential, this study provides a critical reflection on significant implementation challenges. It highlights the “black box” problem—characterized by a lack of algorithmic interpretability—and inherent data biases as major ethical hurdles that can compromise accountability and fairness in crisis response. The present study contributes a structured framework for understanding AI’s role through a theoretical lens. It concludes that future implementation must prioritize explainable AI to balance computational efficiency with ethical responsibility.

Affective asymmetries in AI: Sentiment bias between English and Persian in harmonized LLM pipelines

Pages 143-157

https://doi.org/10.22034/spektrum.2026.563602.1052

Michael Totaro, Leila Gheisi, Ehsan Shahghasemi

Abstract In the contemporary landscape of crisis management, decision-makers are increasingly overwhelmed by the sheer volume, velocity, and variety of media data generated during emergencies. Traditional manual analytical methods are often insufficient to process this influx effectively, necessitating a paradigm shift toward advanced computational approaches. The primary goal of this study is to bridge the gap between technical data science and practical crisis communication by establishing a clear analytical link between specific machine learning (ML) paradigms and their operational capabilities. This article utilizes a narrative review methodology, underpinned by a theoretical framework grounded in machine learning. The study systematically synthesizes existing literature to categorize and analyze how distinct ML architectures—specifically supervised, unsupervised, and deep learning—are applied within the domain of media data analysis to support decision-making processes during crises. The analysis confirms that artificial intelligence significantly enhances crisis management effectiveness by automating media monitoring and generating actionable real-time insights. The findings delineate specific roles for different algorithms: supervised learning serves as the theoretical foundation for rapid misinformation detection and precise crisis classification. Conversely, unsupervised learning and deep learning are identified as critical tools for detecting data anomalies and recognizing emerging patterns, which are essential for the functionality of proactive early warning systems. While AI offers transformative potential, this study provides a critical reflection on significant implementation challenges. It highlights the “black box” problem—characterized by a lack of algorithmic interpretability—and inherent data biases as major ethical hurdles that can compromise accountability and fairness in crisis response. The present study contributes a structured framework for understanding AI’s role through a theoretical lens. It concludes that future implementation must prioritize explainable AI to balance computational efficiency with ethical responsibility.

Futures of public trust in media in the age of artificial intelligence: Scenario planning for Iran 2036

Pages 159-186

https://doi.org/10.22034/spektrum.2026.566873.1056

Amir Garousi, Mahmood Jamali, Einollah Keshavarz Turk

Abstract Public trust in media constitutes a core component of social capital and communicative legitimacy, yet it is increasingly challenged by the rapid integration of artificial intelligence and synthetic media into news production and distribution processes. This study explores alternative futures of public trust in media in the age of artificial intelligence and develops scenario-based insights for Iran toward the horizon of 2036. Adopting a futures-studies approach, the research employs a mixed-methods design that combines environmental scanning and a systematic review of academic and policy sources (2018–2025) with a two-round Delphi consultation involving fifteen experts in media, artificial intelligence, and governance. Structural analysis using the MICMAC method was applied to examine influence–dependence relationships among key variables, leading to the identification of media transparency and the quality of AI regulation as the two critical uncertainties shaping future trajectories of public trust. Based on these axes, four alternative scenarios were developed—Smart Trust, Total Distrust, Islands of Trust, and Imposed Trust—each illustrating a distinct configuration of governance choices, technological use, and audience responses. The findings demonstrate that future patterns of public trust are not technologically deterministic but are primarily driven by institutional transparency, regulatory arrangements, and governance decisions. The study concludes that strengthening accountable AI governance, enhancing media transparency, and investing in media literacy among audiences are essential for steering Iran’s media ecosystem toward a sustainable and trust-based future.

Iranian digital discourse, affective alignments, and the geopolitics of AI

Pages 187-212

https://doi.org/10.22034/spektrum.2026.551119.1040

Mahsa Havsson, Mandana Sajjadi

Abstract This study investigates how Persian-speaking users on X interpret and emotionally respond to DeepSeek, a Chinese-developed large language model. Drawing on a curated corpus of 1,112 posts collected from Iranian users, the research employs a mixed-method approach incorporating sentiment analysis, topic modeling, and co-occurrence network analysis. The findings reveal a layered discursive landscape in which DeepSeek serves not merely as a technological product but as a symbolic site for negotiating issues of geopolitical alignment, epistemic trust, and technological aspiration. Six major affective orientations—neutrality, skepticism, hope, pride, anxiety, and dismissiveness—structure user engagement with the model, reflecting ambivalent yet politically informed responses. Thematic analysis identified eight recurring topics, including performance comparisons, Chinese sovereignty, AI ethics, and cultural identity, which often co-occurred in complex rhetorical configurations. These results suggest that Iranian users deploy DeepSeek as a proxy to reflect on domestic technological constraints, platform politics, and the shifting contours of global AI hegemony.

Artificial intelligence and digital hermeneutics: Data bias, algorithmic ethics, and social implications

Pages 213-242

https://doi.org/10.22034/spektrum.2026.562967.1050

Fatemeh Abdollahpour sangchi, Hossein Rahnamaei, Ali Asgariyazdi, Mehran Rezaee

Abstract This study examines the relationship between data bias, algorithmic ethics, and the social consequences of digital hermeneutics. As artificial intelligence increasingly influences interpretive domains—particularly religious and philosophical texts—the question of data neutrality and algorithmic objectivity has become a fundamental concern. Using an analytical-explanatory approach, the study demonstrate that training data, contrary to common assumptions, are not neutral. Instead, they embody cultural values and presuppositions that are reproduced within algorithmic processes. This reproduction can result in semantic simplification, the reduction of interpretive diversity, and even the distortion of sacred texts. Drawing on a hermeneutical perspective, the article emphasizes the need to distinguish between “human pre-understanding” and “machine data,” showing that the absence of awareness, critical reflexivity, and lived experience in algorithms prevents the attainment of authentic understanding. Moreover, the study indicates that the social implications of this condition extend beyond textual interpretation, posing risks to privacy, intensifying social inequalities, and undermining cultural diversity. Ultimately, the article argues that digital hermeneutics can be constructive only when the technical capacities of artificial intelligence are accompanied by ethical principles, religious oversight, and the preservation of interpretive traditions.

How AI redefines digital branding and consumer?

Pages 243-268

https://doi.org/10.22034/spektrum.2026.567776.1058

Mohammad Reza Jalilvand, Ataei Ataei

Abstract Artificial intelligence (AI) is increasingly used as a key tool to redefine digital branding and customer engagement. It encompasses techniques and methods that businesses leverage to create brand value, enhance the effectiveness of customer interactions, and improve marketing strategies. The analysis of interviews indicates that AI applications—through data analysis, advanced algorithms, modeling, and other techniques—bring significant transformations in digital branding processes, while also presenting specific challenges and opportunities. Accordingly, this study focuses on identifying AI techniques, persuasive effects, transformations, and challenges associated with AI implementation in digital marketing and customer engagement. To address the research questions, this study employed a qualitative, field-based approach. Seventeen experts in AI and digital branding were purposefully selected and interviewed using semi-structured format. Participant selection focused on expertise, professional experience, and practical familiarity with AI applications in digital branding. The interviews aimed to explore experts’ experiences, perceptions, and insights regarding AI’s role and functions in branding processes. The interview data were analyzed using thematic analysis. Initially, codes were extracted from the interview transcripts. These codes were then categorized and aggregated to identify sub-themes and, ultimately, the main research themes. The findings indicate that AI applications in digital branding are primarily built on advanced computational and learning-based techniques, including scalable algorithms, machine and reinforcement learning, search and recommender systems, automation, data processing, human–computer interaction, and AI-enabled platforms. These capabilities drive major transformations to digital branding, such as more dynamic and personalized marketing activities, changes in distribution and pricing mechanisms, adaptive business strategies, enhanced decision-making and cybersecurity, improved customer experience, stronger brand positioning, the emergence of digital business models, brand globalization, and value creation. This research contributes to the limited qualitative literature examining AI functions and outcomes in digital branding by drawing on experts' lived experiences, and providing rich and practical insights for researchers and practitioners in the field.

Decolonizing the literary AI in the age of LLMs and digital neocolonialism

Pages 269-291

https://doi.org/10.22034/spektrum.2026.565038.1054

Mohammad Bagher Shabanpour

Abstract Large Language Models (LLMs) are usually considered neutral technological advancements. However, critical digital studies increasingly emphasize the need to challenge their potential to perpetuate colonial power structures in cyberspace. This paper argues that LLMs function as powerful apparatuses of digital neocolonialism. It aims to diagnose this phenomenon within the field of literary AI and to propose a decolonial framework for its future development. This study demonstrates how the protocols of extracting and processing data privilege Western epistemologies in a systematic manner. Then, it develops a conceptual framework for the praxis of decolonial AI based on the principles of reciprocity and epistemic justice. The analysis reveals that the extractivist data collection utilized by dominant LLMs treats cultural and linguistic data as territory for appropriation, privileging the Western literary canon and erasing marginalized languages and traditions. This has led to linguistic homogenization and epistemic injustice as well as the imposition of aesthetic standards of the global West. In response, the proposed decolonial framework has necessitated a paradigm shift from extraction to reciprocity, which involves community-led data governance. Furthermore, AI should be used as a collaborative, co-creative tool by literary writers and researchers. As a further decolonial step, Eurocentric evaluative criteria in this field must be reformed in concrete ways. The decolonial approach advanced in this paper, seeks to fundamentally reposition literary AI. The ultimate goal of this repositioning is to foster a pluriversal aesthetic and epistemic framework.

Gender construction in anthropomorphizing generative AI: An interplay of society and technology

Pages 293-324

https://doi.org/10.22034/spektrum.2026.566965.1057

Shalaleh Meraji Oskuie

Abstract Humans anthropomorphize digital entities, such as Generative Artificial Intelligence (GAI), assigning them human-like physical traits, mental states, or social characteristics, including gender. GAI, as a sociotechnical actor, both reflects and shapes the society that produces it. Similarly, the intersections of GAI and gender are mutually co-constitutive. Gender is embedded, reproduced, enacted, materialized, and embodied in AI technologies. The current research explores anthropomorphism and the gendering of GAI from a social constructionist perspective, examining how individuals consciously and unconsciously adopt stereotypical gendered expectations when anthropomorphizing GAI. An embedded mixed-methods design was employed, with quantitative data nested within a predominantly basic qualitative research approach. Qualitative and quantitative data were collected simultaneously via purposive and convenience sampling, and sixty-seven Iranian participants completed the online questionnaire. The study began with an autoethnographic vignette. The quantitative strand followed the logic of Q methodology, identifying distinguishing items by treating participants as variables in the analysis. Qualitative data were analyzed using thematic analysis. Over half of the participants did not assign a gender or name to GAI, while roughly half of the remaining participants assigned a variable gender (male, female, or genderless), the remainder attributed a fixed gender, which was predominantly male. Many participants did not anthropomorphize GAI, emphasizing its machinic nature, whereas other participants’ responses revealed that human-like attachments, gender assignments, naming practices, and the ways these anthropomorphic exercises are shaped by GAI use mirror broader cultural norms, indicating that perceived gender in GAI is socially enacted rather than intrinsic. Since emotional bonds with increasingly humanized GAI chatbots can lead to negative or positive outcomes, GAI literacy is necessary. Policymakers and educational institutions should devise initiatives to raise GAI literacy, and that GAI corporations adopt self-regulatory measures to protect users.

Human Dignity and Humanitarian Law in Islam

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.590465.1070

Ali Akbar Alikhani, Mahnaz Shahalizade

Abstract Human dignity constitutes one of the foundational principles of Islamic thought and provides a normative framework for understanding humanitarian principles during armed conflict. Although international humanitarian law has received extensive scholarly attention, the relationship between human dignity and humanitarian norms within the Islamic intellectual tradition has not been systematically examined. This study investigates the conceptual foundations of human dignity, identifies the principal humanitarian norms reflected in Islamic sources, and analyzes the relationship between these two concepts. Employing qualitative content analysis and historical analysis, this study draws upon the Qur'an, the Prophetic Sunnah, the Nahj al-Balaghah, and authenticated historical sources to examine both the normative and historical dimensions of humanitarian conduct in Islam. Concepts and analytical categories were inductively derived from the texts and subsequently used to explain broader conceptual relationships. The findings demonstrate that human dignity is understood in Islam as an inherent and universal attribute shared by all human beings, irrespective of religion, ethnicity, or political affiliation. This conception serves as the normative basis for humanitarian principles governing armed conflict. Accordingly, prioritizing peaceful settlement, refraining from initiating hostilities, protecting civilians, respecting the wounded, prisoners of war, and those hors de combat, prohibiting treachery and mutilation, and maintaining negotiations throughout hostilities emerge not merely as ethical recommendations but as practical manifestations of the principle of human dignity. The study further argues that these principles apply equally to both domestic and international armed conflicts and are not confined to relations among Muslims. The study concludes that human dignity functions as the philosophical and normative foundation of humanitarian law in Islam and offers a valuable basis for constructive dialogue between the Islamic legal tradition and contemporary international humanitarian law.

On the influence of the Persian philosopher Avicenna (Ibn Sīnā) on Meister Eckhart’s metaphysics

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.542074.1038

s s, roland pietsch

Abstract After a brief introduction on Meister Eckhart's reception of Avicenna, Meister Eckhart's metaphysics of being is examined, clearly demonstrating Avicenna's influence. First, the significance of his thesis "Being is God" is explained, followed by "Being as the name of God" and "Necessary Being as the name of God." Subsequently, "Being" and the biblical name of God "I am that I am" and its interpretation by Meister Eckhart under Avicenna’s influence are examined in four steps. Finally, it is pointed out that Meister Eckhart's reception of Avicenna occurred solely on the level of metaphysics.

Art, Architecture, and Visual Culture

Spirituality and Iranian Architecture from the Perspective of Transcendent theosophy (Based on the Fourfold Model of Cognition)

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.520432.1032

Khosro Sahaf, Navid Jalaeian Ghane, Alireza Jalaeian Ghane

Abstract Iranian architecture has historically evolved in close association with spirituality. This relationship is reflected not only in its spatial and physical organization but also in its philosophical and theoretical foundations. Drawing upon Mulla Sadra’s Transcendent Philosophy and the Fourfold Model of Cognition, this study investigates the spiritual dimensions of Iranian architecture. This qualitative study adopts a logical–interpretive approach based on Islamic-Iranian philosophical sources and selected examples of traditional Iranian architecture. The theoretical framework is grounded in Mulla Sadra’s Transcendent Philosophy, which is founded upon the principles of the Primacy of Existence, the Gradation of Existence, and Substantial Motion. From this perspective, architecture is understood not merely as a physical artifact but as an existential phenomenon capable of manifesting these philosophical principles. The Fourfold Model of Cognition, rooted in Iranian philosophical thought and the doctrine of the apparent (ẓāhir) and the hidden (bāṭin), provides an analytical framework for understanding the relationship between architecture and wisdom. The model consists of four interconnected levels—concepts (meanings), foundations (principles), patterns (design frameworks and methods), and exemplars (cases and applications)—through which the reciprocal movement from meaning to matter (the hidden to the apparent) and vice versa is examined. Based on theoretical analysis and field observations of the Sheikh Lotfollah Mosque, the findings demonstrate that, through the principles of Transcendent Philosophy, Iranian architecture extends beyond aesthetic and functional considerations to provide a mystical and ontological experience of space. This perspective offers an understanding that transcends form and function, connecting architecture with spiritual and intuitive dimensions of human experience. The findings suggest that the philosophical foundations of Mulla Sadra’s Transcendent Philosophy can provide a theoretical basis for revitalizing the transcendent dimensions of contemporary architecture. In this regard, the Fourfold Model of Cognition offers a valuable methodological framework for interpreting and designing architectural spaces through a spiritual perspective.

The Geopolitics of Modern Architecture in Iran: The Role of Swedish Engineering Firms during the First Pahlavi Era

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.551240.1039

Mahdi Motamedmanesh, صدف Sadaf

Abstract This paper examines the role of Swedish engineering firms in Iran’s architectural modernization during the First Pahlavi era, foregrounding infrastructure as a critical yet underexplored instrument of state formation, national integration, and geopolitical self-assertion. While the contributions of prominent European engineering firms to Pahlavi modernization have long been recognized, the role of Scandinavian companies has received little scholarly attention. Addressing this lacuna, the study investigates the technical, conceptual, and cultural dimensions of Swedish engagement in Iran, with particular reference to the Ahvaz White Bridge and the Ghazian–Mian Poshteh Bridge. Adopting a descriptive–analytical methodology and drawing on archival materials, historical documentation, architectural records, and field investigations, the research traces how Scandinavians facilitated the transfer of modernist ideas, reconfigured spatial orders, and reshaped Iran’s building culture. The findings suggest that Swedish firms performed a role far exceeding that of contractors or technical service providers. Their projects introduced advanced materials, including reinforced concrete and steel, together with movable bridge technologies previously unknown in Iran, while simultaneously embodying the broader discourse of Pahlavi modernisation. These structures emerged not only as feats of engineering, but also as visible symbols of state authority and of Iran’s aspiration to reposition itself within global modernity. Their deliberate siting in strategically sensitive regions further underscores their geopolitical significance and their function as instruments of territorial integration. Beyond their technical contribution, Swedish companies acted as cultural agents and conduits for international architectural models, participating in a form of “architectural diplomacy” that facilitated the social reception of new architectural vocabularies, and thereby helped legitimise modernist aesthetics. By bringing these issues into focus, this study contributes to scholarship on transnational architectural history, technology transfer, and the geopolitics of infrastructure. It demonstrates how peripheral European actors shaped non-Western trajectories of modernisation and how the built environment was instrumentalised in state-building projects.

Intense Cultural Assimilation in the Iranian Diaspora: A Sociological Explanation

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.590499.1071

Reza Gholami

Abstract Migration is not merely geographical relocation but a multi-layered process of redefining identity and rebuilding social relations. This theoretical article examines the sociological tendency toward intense cultural assimilation in parts of the Iranian diaspora. The objective is to move beyond reductionist and normative explanations and present a multi-level explanatory model for understanding this phenomenon. This research is a theoretical article (Conceptual Paper) organized through a systematic literature review and conceptual analysis. Classical and contemporary works related to the sociology of migration, diaspora studies, theories of cultural adaptation, status theory, symbolic capital, and media were critically examined. Key concepts were extracted and organized within three analytical levels: pre-migration contextual factors, post-migration mediating mechanisms, and status and identity consequences. The findings demonstrate that intense cultural assimilation cannot be reduced merely to cultural self-loss or individual preferences. Instead, it results from the interaction of historical, cultural, media, and status-related factors. Pre-migration cultural deposits, transnational media representations, structural ruptures, status pressures in the host society, and the effort to accumulate symbolic capital in transnational social fields interact within a causal-interactive structure. This pattern represents one of several possible cultural adaptation strategies among the Iranian diaspora. Intense cultural assimilation is not a sign of absolute passivity or lack of agency but rather a positionally rational strategy for gaining positive distinction and accumulating symbolic capital in transnational social fields. Alongside this pattern, hybrid, multi-layered, and transnational identities are also observable among different sections of the Iranian diaspora. Understanding this phenomenon requires simultaneous attention to social structures, lived experiences, and the status calculations of social actors.

Iranian and Persianate History

Religion, Environmental Behavior, and Cultural Context: A Comparative Study of Muslims in Iran and Christians in Germany

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.590790.1074

Younes Nourbakhsh

Abstract Amid intensifying global environmental crises, growing scholarly attention has turned to the role of religion in shaping pro-environmental behavior. This study compares the influence of Islamic and Christian teachings on environmental behavior among Muslims in Iran (N = 442) and Christians in Germany (N = 58), using a researcher-designed questionnaire and nonparametric statistical methods, including direct cross-national comparison of key associations. Among Iranian Muslims, religiosity and religious socialization were positively associated with pro-environmental behavior and a sense of environmental responsibility, underscoring the ethical potential of Islamic concepts such as khilafah (stewardship), the sacredness of creation, and moral responsibility toward nature. However, religiosity was negatively related to general environmental awareness and showed no significant association with low-consumption practices or beliefs about the harms of consumerism. Moreover, religious institutions and leaders in Iran were perceived as playing a limited role in environmental engagement. Among Christians in Germany, institutional religiosity showed no significant relationship with environmental behavior, awareness, or responsibility, while pro-environmental behavior was shaped primarily by secular norms, environmental education, and civic culture. Direct cross-national comparisons confirmed that the association between religiosity and both environmental behavior and religious awareness was significantly stronger in Iran than in Germany, whereas the relationship between environmental behavior and religious socialization was comparably strong in both countries.

The findings demonstrate that religion’s influence on environmental behavior is context-dependent and mediated by cultural, institutional, and social conditions. In Iran, religion remains closely connected to collective identity and moral socialization, while in Germany environmental values are largely embedded in secular institutions and civic culture. The study concludes that religious traditions can contribute to sustainability when their ethical resources are effectively connected with contemporary ecological knowledge and social practices.

Iranian and Persianate History

Postsocial Genealogies: Persian Medical Cultures as Early Epistemic Formations

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.583069.1065

Masoud Salmani Bidgoli, AMENEH Sedighian Bidgoli

Abstract Karin Knorr Cetina developed the concept of postsocial relations to explain how epistemic objects assume increasingly central roles in organizing knowledge, expertise, and social interaction within late modern scientific and technological environments. While this framework has primarily been applied to contemporary settings, its broader historical applicability remains largely unexplored. This article investigates whether medieval Persian medicine may offer a historically distinct case of object-centered epistemic relations that is analytically comparable to the relational dynamics described in postsocial theory. Focusing on Persian medicine between the ninth and fifteenth centuries, the study employs a historical-conceptual methodology grounded in Science and Technology Studies (STS). Drawing upon secondary historical scholarship, the analysis examines manuscripts, hospitals, pharmaceutical substances, medical instruments, and pedagogical practices as material components of an epistemic culture. These historical materials were selected according to their documented roles in organizing medical knowledge, professional authority, and institutional practice, and are interpreted through the analytical concepts of epistemic objects and object-centered relationality. The findings indicate that these material entities functioned as dynamic and open-ended centers of epistemic engagement, structuring learning, clinical practice, and scholarly communities in ways that exhibit important structural similarities to the characteristics Knorr Cetina associates with epistemic objects. Rather than arguing that medieval Persian medicine constituted a postsocial society in the strict historical sense, the article proposes that it developed historically specific object-centered relational configurations that expand the temporal and geographical horizon within which postsocial theory may be productively interpreted. By bringing medieval Persian medicine into dialogue with contemporary STS, the study contributes both to the globalization of Science and Technology Studies and to the historiography of medicine, demonstrating how non-Western historical epistemic cultures can serve not only as empirical illustrations of sociological concepts but also as productive sites for their critical refinement.

Path Dependency Theory and the Land Reforms of 1962 Iran Analysis of the Impact of Initial Goals on the Current Situation

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.535645.1037

hamid shamsaldin, Jahangir karami

Abstract The 1962 land reform was implemented with specific goals that now have gaps relative to the current results. In fact, land reforms were accompanied by initial promises such as equal land distribution, social justice, increased agricultural productivity, and improved villagers' livelihoods. However, after several decades, this policy has not only not achieved its goals in some cases, but has also encountered unintended consequences. By comparing the initial goals and explaining the current results, this article seeks to answer the question of under what factors and how the 1962 land reform has reached the current situation. In response to the main question and in the form of a hypothesis, it can be noted that; land reforms were carried out for development, but the incomplete implementation based on more political goals was reinforced in the following decade with the increase in oil revenues, and then, due to war conditions and continued sanctions, the conflict of interests of self-reinforcing institutions reached a locking stage, which made any change difficult. The research findings in the form of the "path dependency" theory showed that the choice of a transformational decision in the past was influenced by factors such as; Dependence on oil revenues, wrong policies, and conflict of interest among interest groups gradually strengthened and continued in the following decades due to war, imposed conditions, and fear of costs, which have led to a lock-in and currently made it difficult to change and return to the path. The research approach is analytical-descriptive, based on data from library sources and documents.

Religion, Society, and Cultural Identity

Transformation of Cultural Rituals in Contemporary Iran: The Role of Instagram in Reshaping the Celebration of Traditional Occasions

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.593273.1078

javad madahi mashizi

Abstract Abstract
The expansion of social media, particularly Instagram, has played a significant role in transforming the ways cultural rituals are experienced and represented in contemporary Iran. This study aims to elucidate the role of Instagram in the transformation of traditional rituals and to examine the impact of this platform’s media logic on the form, meaning, and modes of enactment of cultural occasions. The study was conducted using a qualitative approach, and its data were collected through semi-structured interviews with active Instagram users who participated in this research. Purposive sampling was employed, and data collection continued until theoretical saturation was reached, which was ultimately achieved after 15 interviews. The data were analyzed using thematic analysis based on the Braun and Clarke approach. The findings indicate that Instagram, as an active cultural intermediary, has contributed to the mediatization of rituals, the aestheticization of ceremonial practices, shifts in patterns of social participation, the individualization of ritual experience, transformations in symbolic meanings, and the strengthening of influencers’ roles in redefining the ways rituals are performed. The results suggest that traditional rituals have moved beyond exclusively place-bound and collective frameworks and, within the context of the network society, have been transformed into visual, performative, and to some extent individualized experiences. In this process, rituals are not merely represented but are also reconfigured through interaction with Instagram’s image-driven logic. Based on the findings, a form of “digital rituality” has emerged within the context of contemporary Iranian culture, in which traditional elements have become intertwined with new media mechanisms. This study demonstrates that understanding cultural transformations and the redefinition of identity in contemporary Iranian society is not possible without considering the role of digital platforms.

Religion, Society, and Cultural Identity

SEMANTIC SOVEREIGNTY IN LARGE LANGUAGE MODELS: AUDITING PERSIANATE AND SHI‘I MEANING ACROSS LANGUAGES

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.587146.1069

Hamed Zarabi

Abstract Large language models increasingly translate, summarize, and explain cultural traditions they have not inherited, raising a question more fundamental than accuracy: can a machine preserve a civilization’s meanings without absorbing them into dominant semantic regimes? This study introduces semantic sovereignty as a critical framework for auditing how large language models mediate Persianate and Shi‘i meaning across languages. Rather than treating translation quality as a matter of lexical equivalence, the study asks whether culturally dense concepts remain intelligible within their own poetic, theological, and historical horizons when processed by multilingual AI systems. Using a cross-lingual mixed-method design, it examines model outputs across four high-pressure domains: Rumi’s mystical semantics, Hafez’s lyric ambiguity, Ferdowsi’s epic-political vocabulary, and Shi‘i hermeneutic concepts such as taʾwīl, velāyat, ijtihād, and ʿismah. The analysis combines comparative prompting, translation-chain testing, expert annotation, and qualitative coding of semantic displacement. Findings show that LLMs often generate fluent and plausible responses while weakening the interpretive structures that make these texts meaningful. Rumi is frequently psychologized into global spirituality; Hafez is over-clarified through premature closure of ambiguity; Ferdowsi is depoliticized into ethical leadership; and Shi‘i concepts are flattened into generic religious vocabulary. Expert-context prompting improves semantic preservation by supplying models with interpretive constraints, yet it does not eliminate displacement. The study therefore argues that multilingual AI must be evaluated not only for linguistic performance, benchmark accuracy, or cultural bias, but for hermeneutic accountability: its capacity to preserve metaphor, doctrine, ambiguity, register, authority, and civilizational memory. By positioning Persianate meaning as a test case for AI evaluation, the article contributes to debates on digital humanities, translation studies, cultural sovereignty, and responsible artificial intelligence in an increasingly automated interpretive world. It also suggests that future audits should involve domain experts, historically grounded corpora, and evaluation criteria sensitive to local traditions of interpretation and authority too.

Algorithm and Text: Challenges of Artificial Intelligence in the Humanities with an Emphasis on German Law and Imami Jurisprudence

Articles in Press, Accepted Manuscript, Available Online from 23 May 2026

https://doi.org/10.22034/spektrum.2026.553511.1041

MOHAMAD Heydari Khormizi

Abstract Abstract
The emergence of artificial intelligence as a semi-autonomous agent has challenged the classical paradigms of knowledge production in the humanities. Employing a comparative-analytical approach and qualitative methodology, this study addresses the central question: How are the legal and ethical components of responsibility for works produced with AI participation redefined within the frameworks of Imami jurisprudence and the German legal system? Data were collected through the study of authoritative jurisprudential sources, German codified laws, and scholarly articles, and analyzed using inductive reasoning. The findings reveal that the shift from a purely instrumental paradigm to one recognizing AI's "relative agency" has intensified three structural crises: the crisis of attribution (ambiguity regarding authorship and ownership); the crisis of originality (erosion of human creativity and scientific credibility); and the crisis of accountability (conflict in determining final responsibility). In response, this research proposes the innovative "Proportional Responsibility" model as an interdisciplinary solution. This model distributes ethical and legal responsibility equitably among three key actors: the researcher (active supervision and final verification of content); the developer (transparency regarding system limitations and potential errors); and academic institutions (formulating clear standards and implementing oversight mechanisms). By integrating foundational jurisprudential principles from Imami jurisprudence—such as the rules of lā ḍarar, ḍamān, and tasbīb—with the advanced doctrines of German civil liability, particularly § 280 BGB and producer liability principles, the model establishes a coherent framework designed to preserve scientific integrity in humanities research in the age of artificial intelligence.
 Keywords: Artificial Intelligence; Imami Jurisprudence; German Law; Algorithm and Text; Proportional Responsibility

Comparative, Transregional, and Digital Humanities

Algorithmic Reconstruction of Iranian Identity; A Futures Study of Artificial Intelligence in Iran's Communication Culture

Articles in Press, Accepted Manuscript, Available Online from 03 August 2026

https://doi.org/10.22034/spektrum.2026.592954.1077

Tahereh Jahanparvar

Abstract Objective: In Iran, a country with an ancient civilization, a rich cultural heritage rooted in Iranian-Islamic values, and a collectivist social structure, this issue takes on added complexity and significance. The primary aim of this research is to analyze the process of algorithmic reconstruction of Iranian identity in the age of AI-IoT convergence and to outline plausible alternative future scenarios. The central research question is: How are intelligent algorithms and connected objects redefining the communicative cultural norms and identity of Iranians, and in what direction are they steering these transformations?
Method: This study was conducted using a qualitative approach and futures studies methodology. In the first step, through environmental scanning techniques, the cultural biases embedded in the algorithms of popular Iranian platforms—including Snapp, Divar, and Rubika—were systematically extracted and analyzed. In the next step, using Causal Layered Analysis and the Critical Uncertainty Matrix, probable scenarios for the horizon of 1420 (2041 CE) were developed.
Findings: Three distinct scenarios were identified: 1) "Silent Assimilation"—characterized by the accelerated algorithmic redefinition of norms without effective societal resistance; 2) "Indigenous Resilience"—involving the production of algorithms aligned with Iranian-Islamic values and indigenous cultural priorities; and 3) "Schizophrenic Ambivalence"—referring to a state in which individuals simultaneously exist within two conflicting value systems, leading to a profound identity crisis. Current evidence and observable trends indicate that Iranian society is moving predominantly toward the third scenario.
Conclusion: The findings indicate that the transition from "content-centric governance" to "intelligent algorithmic governance" is an inevitable and urgent necessity. Strategic investment in the development of indigenous ethical AI and the comprehensive promotion of critical algorithmic literacy are proposed as the most key policy strategies for managing this critical transition.

The Body Politic Under the Knife: A Critical Evaluation of Medical–Political Metaphors in Iranian Political Discourse

Articles in Press, Accepted Manuscript, Available Online from 13 June 2026

https://doi.org/10.22034/spektrum.2026.574837.1062

Mohsen Karami

Abstract Political metaphors are not merely rhetorical devices but cognitive instruments that shape perception, structure judgment, and guide collective action. Among them, medical–political metaphors are particularly influential, as they draw on culturally authoritative notions of health, disease, diagnosis, and treatment to interpret political realities. This article offers a philosophical analysis of the epistemic, ethical, and socio-political implications of such metaphors. Drawing on Conceptual Metaphor Theory, Critical Discourse Analysis, discourse ethics, and theories of epistemic injustice, it argues that medicalized political language functions not only descriptively but also as a mechanism that reorganizes political understanding through biologically grounded schemas.

The analysis proceeds in three stages. First, it reconstructs the conceptual structure of five recurrent medical–political metaphors, showing how political actors, institutions, and conflicts are mapped onto medical categories such as pathology, infection, surgery, and cancer. Second, it examines their epistemic consequences, arguing that these metaphors simplify political phenomena, produce category mistakes, obscure agency and structural causality, narrow interpretive possibilities, encourage affective shortcuts in reasoning, and improperly transfer the authority of scientific discourse into domains of normative and political contestation. Third, it explores their ethical and political consequences, showing how they may contribute to dehumanization, weaken mutual recognition, enable epistemic injustice, legitimize exclusionary practices, and reshape political culture by normalizing antagonistic identities and exceptional forms of governance.

The article concludes that medical–political metaphors are not neutral tools of political communication. By framing political disagreement as pathology, they reshape the epistemic and moral conditions under which democratic judgment, public deliberation, and political pluralism operate. Their significance lies not only in the meanings they convey but also in the forms of political reality they render intelligible and governable. A critical examination of these metaphors is therefore essential for understanding the relationship between language, power, and democratic life.