Stillbirth Rates among <scp>H</scp>aitians in <scp>C</scp>anada
Bibliographic record
Abstract
BACKGROUND: Data on cultural groups at risk of stillbirth in high-income countries are scarce. We sought to determine disparities in stillbirth by gestational age for Haitian vs. non-Haitian Canadians. METHODS: We used data on 10,287 stillbirths and 2,482,364 livebirths from 1981-2010 in the province of Quebec, Canada. Stillbirth rates for Haitians were compared with non-Haitians using fetuses at risk denominators, and Cox proportional hazards regression models with gestational age as the time scale. RESULTS: Stillbirth rates were much higher for Haitians than non-Haitians during the study period (7.2 vs. 3.9 per 1000 total births). Disparities between Haitians and non-Haitians were largest at 32-36 weeks of gestation [hazard ratio 2.22, 95% confidence interval 1.61, 3.07]. CONCLUSIONS: Stillbirth rates in Haitian Canadians giving birth in Quebec are exceptionally high. Disparities were greatest during the late preterm period.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".