WOMEN'S HEALTH The Use of the Antenatal Psychosocial Health Assessment (ALPHA) Tool in the Detection of Psychosocial Risk Factors for Postpartum Depression: A Randomized Controlled Trial
Bibliographic record
Abstract
Objective: Eliciting known risk factors for postpartum depression (PPD) during pregnancy may enable primary health care providers to identify women at increased risk of becoming depressed. The purpose of this study was to examine how well the Antenatal Psychosocial Health Assessment (ALPHA) form identified antenatal risk factors for PPD, compared with routine care, in a sample of pregnant women. Methods: A randomized controlled trial was conducted to assess the effectiveness of the ALPHA form in detecting antenatal risk factors associated with the adverse postpartum outcomes of postpartum depression, intimate partner violence, child abuse, and couple dysfunction. The participants were primary antenatal care providers—family physicians, obstetricians, and midwives— from four diverse communities in Ontario. These providers were
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".