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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.003 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".