THE IMPACT OF INFANT ADMISSION TO SPECIALIZED CARE ON THE TRAJECTORIES OF MATERNAL DEPRESSIVE SYMPTOMS
Bibliographic record
Abstract
Depressive symptoms persisting from pregnancy to postpartum are a significant health concern for both mother and child. This thesis aims to elucidate the impact of neonatal admission to specialized care on trajectories of maternal depressive symptoms in a cohort of women from London, Ontario. We hypothesized that women giving birth to infants subsequently admitted to specialized care at birth were at higher risk for experiencing an increase in depressive symptoms from pregnancy to 2 years postpartum. Data were collected from the Prenatal Health Project at the University of Western Ontario. Univariable and multivariable regression models were used to determine the relationship between infant admission to specialized care and trajectories of depressive symptoms. Depression in pregnancy, lower current stress, higher current social support and higher current child health were associated with depressive symptoms that decrease from pregnancy to postpartum. Infant admission to specialized care was not significantly associated with trajectories of maternal depression.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".