Alcohol in Mayan Guatemala: consumption, distribution, production and composition of cuxa
Bibliographic record
Abstract
AIMS: To describe the consumption, distribution, production and chemical composition of alcohol, including cuxa (pronounced 'coo sha'), in Nahualá, a highland Mayan municipality in Guatemala. Cuxa is a sugarcane-derived spirit, in part produced clandestinely, that has been distributed in the community for several decades. METHODS: Key informant interviews with alcohol distributors and consumers, cuxa producers and health professionals, as well as analyses of questionnaires from a sample of 47 spouses who came to the local health centre for problems related to their husband's drinking. Sampling and chemical analysis of cuxa from 12 of 13 identified sales points in the head-town of Nahualá and its nearby settlements (10 km radius). Fieldwork was conducted between November 2007 and March 2008. RESULTS: Alcohol consumption was found to be integrated culturally in this community. The overall drinking culture was marked by irregular heavy drinking occasions, especially around market days, with substantial inebriation and health problems, especially among street inhabiting drinkers. Cuxa contributed to these problems, and cuxa drinking was socially stigmatized. Cuxa was produced both clandestinely and industrially, and sold legally by taverns and illegally by clandestine distributors. The alcoholic strength of the samples was typically between 17 and 19% vol.; clandestinely produced cuxa samples showed acetaldehyde contamination. CONCLUSIONS: Measures should be taken to reduce the harm associated with alcohol in this community, including efforts to reduce acetaldehyde levels in cuxa.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".