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Record W4396865833 · doi:10.1177/00938548241249610

Women’s Homelessness and the Justice System: A Study of Desistance and Social (Re)integration Among Canadian Women Who Used or Did Not Use Criminal Activities to Survive

2024· article· en· W4396865833 on OpenAlexaffabout
Mathilde Moffet-Bourassa, Isabelle F.-Dufour

Bibliographic record

VenueCriminal Justice and Behavior · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsProsocial behaviorCriminal justicePsychological resilienceEconomic JusticeCriminologyPsychologyHuman factors and ergonomicsPoison controlSuicide preventionSocial psychologyPolitical scienceMedicineMedical emergencyLaw

Abstract

fetched live from OpenAlex

Women experiencing homelessness (WEH) are a marginalized group who often lack support services, leading them to adopt alternative survival strategies that leave them at risk of being victimized and becoming involved with the justice-system. To better understand this problem, we analyzed the adaptive strategies Canadian WEH use to survive. Comparing the life histories of WEH who turned to criminal activities ( n = 4) with WEH who demonstrated prosocial resilience ( n = 4) makes it possible to identify protective and risk factors for criminal behavior and to propose adaptive strategies that can be used to support these women to adopt a prosocial lifestyle. The results provide a framework for understanding the needs of WEH, filling a gap that results from the focus on men needs in most scientific literature and by many resources, and suggesting that meeting those needs may reduce the likelihood that WEH will become involved with the justice-system.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.112
GPT teacher head0.390
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; a candidate call from one teacher head, not a consensus.

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

Citations5
Published2024
Admission routes2
Has abstractyes

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