Bibliographic record
Abstract
Prison library services in both federal and provincial correctional institutions across Canada are inconsistent, largely underfunded and understaffed. There is limited data around current prison library services which impacts the ability to plan future correctional library services. This research is intended to identify this information gap and aid in future modeling of correctional library services. This research will also examine how libraries can employ a holistic framework to support the mental health and wellbeing of women experiencing incarceration. Additionally, this paper will explore how prison libraries can be decolonial spaces within a carceral context, to act in part as vehicles of reconciliation and attempt to uniquely address the gross over-representation of Indigenous peoples in the Canadian justice system. Through employing a holistic framework and offering library spaces and services that support mental health and emotional health, prison libraries have the potential to transform lives and in a small way pursue reconciliation.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".