Individual- and Community-Level Disparities in Birth Outcomes and Infant Mortality among First Nations, Inuit and Other Populations in Quebec~!2009-12-01~!2010-04-12~!2010-07-06~!
Bibliographic record
Abstract
OBJECTIVE: We assessed individual- and community-level disparities and trends in birth outcomes and infant mortality among First Nations (North American Indians) and Inuit versus other populations in Quebec, Canada. METHODS: A retrospective birth cohort study of all births to Quebec residents, 1991-2000. At the individual level, we examined outcomes comparing births to First Nations and Inuit versus other mother tongue women. At the community level, we compared outcomes among First Nations and Inuit communities versus other communities. RESULTS: First Nations and Inuit births were much less likely to be small-for-gestational-age but much more likely to be large-for-gestational-age compared to other births at the individual or community level, especially for First Nations. At both levels, Inuit births were 1.5 times as likely to be preterm. At the individual level, total fetal and infant mortality rates were 2 times as high for First Nations, and 3 times as high for Inuit. Infant mortality rates were 2 times as high for First Nations, and 4 times as high for Inuit. There were no reductions in these disparities between 1991-1995 and 1996-2000. Modestly smaller disparities in total fetal and infant mortality were observed for First Nations at the community level (risk ratio=1.6), but for Inuit there were similar disparities at both levels. These disparities remained substantial after adjusting for maternal characteristics. CONCLUSION: There were large and persistent disparities in fetal and infant mortality among First Nations and Inuit versus other populations in Quebec based on individual- or community-level assessments, indicating a need to improve socioeconomic conditions as well as perinatal and infant care for Aboriginal peoples.
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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 | 0.012 | 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 | 0.017 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".