Alcohol use among immigrant Latino farmworkers in North Carolina
Bibliographic record
Abstract
BACKGROUND: Heavy alcohol use among Latino farmworkers is believed to be common, but it remains poorly documented. METHODS: Interviewer-administered survey questionnaires were administered to 151 Latino male farmworkers in Eastern North Carolina; topics included frequency of alcohol consumption, amount of alcohol typically consumed, frequency of consuming five or more drinks in a single setting, and signs of alcohol abuse/dependence. RESULTS: Over one-quarter (26%) completely abstain from alcohol, but 27% report frequent heavy drinking, or drinking five or more alcoholic beverages two or more times per month. Over one-third of farmworkers (39%) may be alcohol-dependent. Frequent heavy drinking is more common among single farmworkers and among those who do not follow the crops, and dependence is more common among farmworkers living in camps comprised of both H2A and non-contract workers. CONCLUSIONS: There is substantial variation in alcohol use among Latino farmworkers. Although a substantial proportion of farmworkers abstain from alcohol, an equally substantial proportion report alcohol use that poses significant risk for injury on and off the job. More research is needed to document the potential threat to Latino farmworkers by their alcohol use. Interventions targeting alcohol are needed to minimize the risk of injury in an already dangerous occupation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".