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Record W2202012005 · doi:10.7202/1033844ar

Les filles et les gangs : contextes et répercussions pour les femmes

2015· article· fr· W2202012005 on OpenAlexaffvenue
Meda Chesney‐Lind, Martin Clavet

Bibliographic record

VenueCriminologie · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceVictimisationArtPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

On perçoit généralement les gangs comme étant un phénomène essentiellement masculin, presque emblématique du caractère rebelle des garçons, mais les gangs sont composés d’une part importante de filles. Les dernières données indiquent qu’au moins le quart des membres de gangs sont des filles. Cet article s’intéresse aux perspectives théoriques sur le genre présentes dans les recherches traditionnelles sur les gangs et propose d’aborder le phénomène des gangs sous l’angle de la criminologie féministe afro-américaine et des études sur les trajectoires de vie des femmes. Privilégiant les études qui visent spécifiquement le genre et l’ethnicité, l’article se penche ensuite sur les circonstances qui incitent les filles à se joindre aux gangs. Il est essentiel d’analyser ce phénomène en fonction du rôle de la victimisation, surtout la victimisation sexuelle, tant sur le plan des causes que des conséquences de l’adhésion des filles aux gangs. Les tensions et les divisions au sein de la famille, l’influence des relations entre filles et membres de gangs sur la décision de joindre le gang, la consommation d’alcool ou de drogue (et le risque accru de victimisation) ou un milieu scolaire et un quartier défavorisé caractérisé par la violence, sont autant de facteurs qui incitent les jeunes filles à se joindre aux gangs.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.789
GPT teacher head0.524
Teacher spread0.265 · 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 designNot applicable
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

Citations7
Published2015
Admission routes2
Has abstractyes

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