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Record W2980023126 · doi:10.35502/jcswb.103

Voices of remanded women in Western Canada: A qualitative analysis

2019· article· en· W2980023126 on OpenAlexvenueaboutno aff
Daniel J. Jones, Sandra M. Bucerius, Kevin D. Haggerty

Bibliographic record

VenueJournal of Community Safety and Well-Being · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonDistrustCriminal justiceMental healthCriminologyQualitative researchPsychologyRemand (court procedure)PsychiatrySociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Comparatively little is known about how Canadian prisoners experience and make sense of their lives inside Canadian correctional facilities. Based on 39 qualitative in-depth interviews conducted with remanded women in a Western Canadian remand prison as part of the University of Alberta Prison Project (UAPP), this article serves to describe the five main issues that women in our sample highlighted about their incarceration and how those were shaped by their own backgrounds and life histories: 1) Victimization; 2) Distrust of the police, 3) Parenting while incarcerated; 4) Addictions and mental health; 5) Contextual benefits of prison. The implications of this work for criminal justice practitioners, policymakers, and scholars are discussed. Our findings serve to detail the commonalities between the women in an effort to provide criminal justice and social service actors with contextual background information about their clients. They show that the women lack access to the myriad social and institutional supports that so many people take for granted, including protection from physical and sexual abuse, access to stable housing, addiction support, medical and dental treatment, mental health supports, trauma counselling, and the like.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.008
Science and technology studies0.0290.012
Scholarly communication0.0080.002
Open science0.0030.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.330
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2019
Admission routes2
Has abstractyes

Explore more

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