Quitter les siens? : une analyse des trajectoires de sortie chez les juifs hassidiques
Bibliographic record
Abstract
Ce mémoire analyse les trajectoires de sortie de communautés juives ultraorthodoxes. Plus précisément, il cherche à mettre en lumière le processus par lequel certains juifs hassidiques parviennent à s’affranchir de leur communauté d’origine. Dans une recherche alliant entrevues, notes de terrain et observation,notre étude montre comment malgré la présence d’un fort contrôle social au sein de ces communautés ultra-religieuses certains de leurs membres le déjouent. Ce mémoire vise à repérer et à analyser les stratégies d’adaptation et les ruses mises en place par les hassidim pour échapper au contrôle et ainsi enclencher le processus de sortie. À la lumière de la théorie goffmanienne nous montrons comment dans un environnement contrôlant,les individus réussissent à s’aménager des marges de manoeuvre. C’est en se créant des espaces de liberté durant le processus de sortie qu’ils parviennent à avoir les coudées franches pour s’en affranchir définitivement.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".