Bibliographic record
Abstract
Despite the fact that most persons with schizophrenia find steady employment difficult to sustain, many women with this diagnosis embrace and fulfill the most difficult task of all-motherhood. The aim of this paper is to specify the challenges of motherhood in this population and review the treatment strategies needed to keep mothers and children safe, protecting health and fostering growth. The review addresses concerns that had been brought to the author's earlier attention during her clinical involvement with an outpatient clinic for women with psychosis. It is, thus, a non-systematic, narrative review of topic areas subjectively assessed as essential to "good enough" mothering in the context of schizophrenia. Questions explored are the stigma against motherhood in this population, mothers' painful choices, issues of contraception, abortion, child custody, foster care and kin placement of children, the effects of antipsychotics, specific perinatal delusional syndromes, and, finally, the availability of parental support. This review is intended for clinicians. Recommendations are that care providers work collaboratively with mothers, take note of their strengths as well as their failings, offer a wide array of family services, monitor households closely for safety and for treatment adherence, appreciating the many challenges women with schizophrenia face daily.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".