Smoking, chewing, and cultural identity: Prevalence and correlates of tobacco use among the Yup’ik—The Center for Alaska Native Health Research (CANHR) study.
Bibliographic record
Abstract
Survey data were obtained from a large sample of Yup'ik participants residing in the Yukon-Kuskokwim Delta region of Alaska. Tobacco use, age, sex, and a variety of psychosocial variables were assessed. Over 75% of participants use tobacco; one half (57.4%) reported using smokeless tobacco (SLT) regularly; 28.2% reported smoking cigarettes regularly. Relative to women, men reported using SLT less, smoking cigarettes more, and using the combination of cigarettes and SLT more. Younger participants tended to smoke cigarettes more, and to use the combination of cigarettes and SLT more. SLT users displayed significantly greater enculturation by identifying more with a Yup'ik lifestyle and less with a White lifestyle, speaking their traditional language more frequently, and consuming more traditional food and medicine. In contrast, smokers tended to display significantly greater acculturation and reported using drugs and alcohol more to cope with stress. Discussion focuses on appreciating the influence of cultural factors on health behavior and on implications for intervention.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".