Alcohol use and problems related to the Maxakali indigenous peoples' worldview: a cross-sectional census study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objectives were to estimate the prevalence of Alcohol Use and Alcohol-Related Problems and relate it to sociodemographic characteristics. A population-based cross-sectional study was carried out with 1,036 Maxakali aged nine years and older. A questionnaire was applied to 66 indigenous leaders about alcohol consumption in 2016 and its negative consequences. The association between the study objects was examined by applying the chi-square test, Fisher's exact test, and cluster analysis. Kappa values were calculated to assess questionnaire reproducibility. The 12-month prevalence was 39.1%. The use rate of women (17.3%) was 3.6 times lower than the rate of men. Male alcohol use rates increase from 8.1% to 64% in the 9-14 to 15-19 age group. The highest proportions of alcohol use between mothers and fathers were found in extended families and associated with the negative consequences of those who use cachaça. Female use begins between 20 and 24 years of age, and the rates of problems related to this use exceed those of men aged 25 to 45 years. It is expected that the ease of application and the predictive power of this tool will allow the detection and monitoring of alcohol use and its consequences in the Maxakali people.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.020 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it