Perinatal Mental Health in Lesbian Mothers: A Review of Potential Risk and Protective Factors
Bibliographic record
Abstract
Postpartum depression and other perinatal mental illnesses are common complications of childbirth. The majority of research on these conditions has been conducted in heterosexual women; however, increasing numbers of women are choosing to parent in the context of lesbian relationships. Although many of the fundamental aspects of the transition to parenthood are shared between lesbian and heterosexual mothers, lesbian mothers may differ from heterosexual parents on a number of variables that have been previously associated with perinatal mental health. Lesbian mothers may be more likely than their heterosexual peers to lack social support, particularly from their families of origin, and may be exposed to additional stress due to homophobic discrimination. However, the likelihood that lesbian pregnancies will be planned, together with the relatively equal division of child-care labour observed in lesbian couples, may offer protection from perinatal depression. The study of perinatal mental health in lesbian mothers is warranted, both to ensure that the mental health needs of this largely invisible population are being met, and to further illuminate the role of psychosocial stress in perinatal mental health in all women.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| 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) | 0.002 | 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; 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".