Selective Review of Age-Related Needs of Women with Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: Recognizing that needs differ between men and women with schizophrenia and that they vary over time, this review attempts to categorize the needs that are relevant to younger and to older women. METHOD: This is a selective literature review focusing on topic areas the two authors determined to be most germane to women with schizophrenia. Articles were selected on the basis of currency, comprehensiveness, and study design. Particular attention was paid to the voices of the women themselves. RESULTS: There is considerable overlap between the needs of younger and older women with schizophrenia, but as a general rule, younger women require preventive strategies to stop the escalation of illness while older women require recovery interventions to regain lost hopes and abilities. CONCLUSIONS: There is clinical utility in cataloguing the needs of younger and older women with schizophrenia and conceptualizing interventions according to gender and age rather than viewing needed services along purely diagnostic lines.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".