Bibliographic record
Abstract
Indigenous populations in New World nations share the common experience of culture contact with outsiders and a prolonged history of prejudice and discrimination. This historical reality continues to have profound effects on their well-being, as demonstrated by their relative disadvantages in socioeconomic status on the one hand, and in their delayed demographic and epidemiological transitions on the other. In this study one aspect of aboriginals' epidemiological situation is examined: their mortality experience between the early 1980s and early 1990s. The groups studied are the Canadian Indians, the American Indians and the New Zealand Maori (data for Australian Aboriginals could not be obtained). Cause-specific death rates of these three minority groups are compared with those of their respective non-indigenous populations using multivariate log-linear competing risks models. The empirical results are consistent with the proposition that the contemporary mortality conditions of these three minorities reflect, in varying degrees, problems associated with poverty, marginalization and social disorganization. Of the three minority groups, the Canadian Indians appear to suffer more from these types of conditions, and the Maori the least.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".