Bibliographic record
Abstract
Objective . Aboriginal people in Canada are at higher risk to heavy alcohol consumption than are other Canadians. The objective of this study was to examine a set of culturally specific correlates of heavy drinking among First Nations and Métis youth and adults. Methods . Demographic, geographic, socioeconomic and health-related variables were also considered. Data were used from Statistics Canada's 2012 Aboriginal Peoples Survey to predict heavy drinking among 14,410 First Nations and Métis 15years of age and older. Separate sets of binary sequential logistic regression models were estimated for youth and adults. Results . Among youth, those who had hunted, fished or trapped within the last year were more likely to be heavy drinkers. In addition, current smokers and those who most frequently participated in sports were at higher odds of heavy alcohol consumption. Among adults, respondents who had hunted, fished or trapped within the last year were more likely to drink heavily. On the other hand, those who had made traditional arts or crafts within the last year were less likely to drink heavily. Conclusions . Men, younger adults, smokers, those who were unmarried, those who had higher household incomes, and those who had higher ratings of self-perceived health were more likely to be heavy drinkers. Efforts aimed at reducing the prevalence of heavy drinking among this population may benefit from considering culturally specific factors, in addition to demographic variables and co-occurring health-risk behaviors.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".