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Record W4295298081 · doi:10.1080/09637494.2022.2104092

The power of the ‘<i>unintended’</i>: Islamisation, freedom, and religiosity among the graduates of modern religious schools in post-revolutionary Iran

2022· article· en· W4295298081 on OpenAlexaff
Fateme Ejaredar, Abdolmohammad Kazemipur, Seyed Mahdi Etemadifard

Bibliographic record

VenueReligion State & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReligiosityPower (physics)IslamState (computer science)Face (sociological concept)SociologyEliteCentralityPolitical scienceGender studiesSocial scienceLawPoliticsHistory

Abstract

fetched live from OpenAlex

Modern religious schools have been one of the most significant tools used for carrying out an ‘Islamisation project’ in the aftermath of the 1979 Revolution. Immediately after the Revolution, such schools were mandated with the goal of training a religious elite capable of taking on the leadership positions of the post-revolutionary state. Drawing on 32 face-to-face interviews with the graduates of those schools, this study explores the evolution of the religious lives of the participants during and after the school years. The findings indicate that, despite the very strictly religious environments of the modern religious schools, many of their graduates experience either a shift away from religion altogether or from the version of Islam that is sanctioned by school and the state. The way these dynamics work is a classic example of what Robert Merton has called the distinction between the ‘manifest’ and ‘latent’ functions of a social act. The key factor that has contributed to the failure of this state project seems to have been the efforts to restrict the freedom of students. This finding shows the centrality of freedom for a meaningful spiritual life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.264
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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