"It's our mental health, it's not theirs!" A patient-oriented approach to women's intake mental health assessments in Canadian correctional institutions
Bibliographic record
Abstract
The mental health assessment tools currently used during institutional intake within Canadian correctional settings have been constructed on all-male samples. By drawing on the gaps in the literature, this research demonstrates the need for a gender-informed mental health assessment process for incarcerated women. This study draws on feminist standpoint theory and applies a patient-oriented research framework to engage women with lived experience throughout the research process. Fifteen phone interviews were conducted with two sample groups: five “Patients,” or formerly incarcerated women identified with mental illness; and ten “Service Providers,” or women from various chapters of the Elizabeth Fry Society. By drawing on feminist theory and applying thematic analysis, this thesis presents six identified themes in the data: first, participants called for incarcerated women to be in a safer, more comfortable environment during the mental health assessment; second, they discussed the components and measures that would be ideal for a women’s mental health assessment tool; third, participants suggested that the outcomes of the intake assessment should connect women to the necessary mental health services and programs; fourth, they identified the ideal individuals who should be conducting the assessment process, including their qualifications and credentials; fifth, participants discussed the components of a culturally informed mental health assessment process for incarcerated Indigenous women; finally, the last theme presented discusses participants’ ideas for implementing this process. Results were discussed in conjunction with the implications and directions for future research and concludes with an overview of the knowledge translation process. This thesis does not debate whether correctional systems are effective in reforming prisoners, but rather, critiques the valuation of the male perspective within correctional mental health assessments. Findings suggest how to improve outcomes for incarcerated women with mental illness through a gender-informed mental health assessment process based on their lived experience.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".