Exploring Differences Between Community-Based Women and Men with a History of Mental Illness
Bibliographic record
Abstract
Relatively little is understood concerning the role of gender in persons with a history of mental illness residing in the community. This paper aims to explore gender's effect using data from the Community Research University Alliance project entitled, Mental Health and Housing. The primary five-year longitudinal study examined housing situations for psychiatric consumer/survivors in a mid-size, central Canadian region in an effort to improve the number and quality of appropriate housing situations. Data from 887 subjects in the original research underwent secondary analysis with particular relevance to differences between gender and indicators of health status including psychiatric history, levels of functioning, personal strengths and resources, and illness severity. Results of the secondary analysis found male and female differences that corroborated previous research. More women are housed than men, more women with mental illness were coupled than men, men have fewer social supports, and men have more substance abuse issues than women. These findings suggest health services within the community must consider these sex differences if they wish to properly assist Canadian individuals diagnosed with mental illnesses.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".