Alcohol use and problems related to the Maxakali indigenous peoples' worldview: a cross-sectional census study
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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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".