Les parcours post-carcéraux des femmes condamnées en Russie : le rôle des Centres d’adaptation sociale dans le processus d’insertion
Bibliographic record
Abstract
The prison population in Russia has decreased by a quarter over the last decade. Nevertheless, it is still one of the largest in the world. This is also the case for women inmates, whose proportion in Russia is higher than the European average. The rate of penal recidivism is 62.5 percent, however, there is still no special rehabilitation program for ex-offenders. Social adaptation centers organized in every Russian region and managed by the Ministry of Social Development have become the main public institution offering basic assistance to former prisoners. What role do adaptation centers play in the lives of women released from correctional colonies? What kind of difficulties do female offenders face in freedom, and how do they find their way to reintegrate into society? This research note seeks to answer these questions by focusing on the careers and strategies of female ex-prisoners and exploring the contribution of adaptation center in Perm in the process of their resocialization. The text is based on the results of in-depth interviews and observations conducted during the EHESS two-years master's program in sociology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".