“And I Believe in Signs”: Soviet Secularity and Islamic Tradition in Kyrgyzstan
Bibliographic record
Abstract
Abstract In Central Asia, the Soviet state had destroyed most Islamic institutions by the late 1930s, which gradually alienated millions of Soviet Muslims from the basics of Islamic theology and key Islamic practices of virtue cultivation, including the five daily prayers ( namaz ), Islamic ethics of dressing (like covering certain parts of the body), and certain lifestyle prescriptions (such as the avoidance of alcohol, gambling, and premarital sex). As a result, mainstream Islam in Central Asia came to revolve around the main Islamic life-cycle rites (i.e., male circumcision, the marriage ceremony, and funeral prayer) and occasional practices of uttering blessings, reciting short Qur’anic verses for the souls of the deceased, and visiting shrines, among others. Although more than thirty years have passed since the fall of the USSR, this non-observant form of Islam remains widespread in the region. Inquiring into the conceptual and affective aspects of Soviet forced secularization in Central Asia, I make two interrelated interventions into secularism studies and the anthropology of Islam. First, I theorize Soviet secularism through attending to the modern state’s aspiration to transcend and transform the particularities of lived traditions, which reveals significant overlaps between communist and liberal modes of statecraft and subject formation. Second, reflecting on a non-observant form of Islam in contemporary Kyrgyzstan, I ask: what remains of a tradition of virtue ethics when its modes of abstract reasoning and virtue cultivation have all but vanished?
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".