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Record W2963221304 · doi:10.4000/pipss.5174

Les parcours post-carcéraux des femmes condamnées en Russie : le rôle des Centres d’adaptation sociale dans le processus d’insertion

2018· article· fr· W2963221304 on OpenAlexaboutno aff
Татьяна Михайловна Дворникова

Bibliographic record

VenueThe Journal of power institutions in post-soviet societies · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsResocializationPrisonChristian ministryInstitutionSociologyPolitical scienceRecidivismPopulationAdaptation (eye)HumanitiesQuarter (Canadian coin)CriminologyPsychologySocial scienceLawGeographyDemography

Abstract

fetched live from OpenAlex

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.010
Scholarly communication0.0000.002
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 head0.057
GPT teacher head0.334
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of power institutions in post-soviet societiesSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207