Voices of remanded women in Western Canada: A qualitative analysis
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.029 | 0.012 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".