Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
M aternal depression is considered a risk factor for the socioemotional and cognitive development of children (1).The current prevalence of depression in Canada averages at 6%, which is similar to the rates in other western countries (2) (the female-to-male ratio average is 2:1 [3]).However, the prevalence of postpartum depression is approximately 13% (4).Women of childbearing age are particularly at risk for depression, and many of them experience high levels of social morbidity and depressive symptoms that are often unrecognized and untreated.Mothers already at risk for depression are particularly fragile during the first months postpartum.Maternal depression has consequences on the child's development.Because physicians who care for infants and children encounter mothers repeatedly, it is important that they have the knowledge and skills for the detection of symptoms of maternal depression. The objectives of this statement are: • To review the present knowledge on the consequences of maternal depression on the development of children at various ages;• To review the evidence-based literature on the treatment of maternal depression and its impact on newborns, infants and children; and• To review the role of the child's physician in the detection of symptoms of maternal depression, and the coordination of appropriate support and management.A literature search for the past 15 years was conducted using the MEDLINE database, and by reviewing the bibliographies of the retrieved articles.Of particular interest were the prospective longitudinal cohort studies in which mothers were recruited during their pregnancy or postpartum period, and the children were assessed at regular intervals. Maternal depression and child development
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.
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) | 0.000 | 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 it