How other countries can improve Canada's maternal mortality statistics
Bibliographic record
Abstract
Maternal mortality is the death of a woman while pregnant or within 42 days of the end of pregnancy. Late maternal deaths are from 42 to 365 days thereafter. Maternal mortality is an important surrogate indicator of a woman's overall health, social and economic status, and the provision of antenatal and emergency obstetric care at regional and national levels. Canada does not have a national system to report on maternal mortality; rather, maternal death investigations fall under the legal purview of coroners and medical examiners within each individual province or territory. Furthermore, the Canadian Perinatal Surveillance System is limited by its access to a comprehensive dataset. Hence, there is no accurate national picture of mortality prevalence or trends. The implementation of a national confidential enquiry system is a crucial step toward detailing pregnancy and post-pregnancy maternal mortality in Canada and should be organized in accordance with existing successful international systems.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".