The power of the ‘<i>unintended’</i>: Islamisation, freedom, and religiosity among the graduates of modern religious schools in post-revolutionary Iran
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".