Bibliographic record
Abstract
Schizophrenia has long been known to affect men and women somewhat differently. It has been shown that men have a higher incidence, a younger age of onset, more impaired social and vocational functioning, and poorer response to treatment. Generally acknowledged risk factors such as season of birth, obstetric complications, head trauma and substance abuse affect males more than females. This review examines other potential predictive factors, both genetic and environmental, that have come to attention over the last 5 years, and examines their relative gender risk. Recent findings pertinent to women with schizophrenia have emerged with respect to hormonal effects, antipsychotic metabolism and antipsychotic side effects. A new concept relative to outcome is recovery, which, thus far, shows no gender difference. The review also addresses the needs of specific groups of women affected by schizophrenia – those in the early stages of illness, those who are pregnant, those who are mothers and those who are in their postmenopausal years. Several new findings are advancing the field of women and schizophrenia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".