Tobacco use during pregnancy among Alaska Natives in western Alaska.
Bibliographic record
Abstract
OBJECTIVE: To determine tobacco use rates during pregnancy among Alaska Natives residing on the Yukon-Kuskokwim (Y-K) Delta of western Alaska. Alaska Natives residing in this region use Iqmik, a unique form of smokeless tobacco (ST). STUDY DESIGN: Retrospective cohort study. The medical records of the most recent consecutive 100 Alaska Native women delivering within the Y-K Health Corporation system in 2001 were abstracted for information on tobacco use during this pregnancy and basic demographics. RESULTS: Of the 100 women, 24 did not use tobacco, 55 used ST only, 18 smoked cigarettes only, and 3 used both ST and smoked cigarettes during this pregnancy. Of the 58 who used ST, 22 used Iqmik only, 32 used commercial ST only, and 4 used both. The frequency of ST use increased significantly with age (p=0.007; OR=1.65 per 5-year increase in age, 95% CI 1.15 to 2.36), while the frequency of cigarette smoking tended to decrease with age (p=0.254; OR=0.79 per 5-year increase in age, 95% CI 0.53 to 1.18). CONCLUSION: A high proportion of Alaska Native women use tobacco during pregnancy. The rate of ST use (58%) among pregnant Alaska Native women is markedly higher than the prevalence of ST use (0.5%) among women in the general U.S. population.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".