Social and Economic Factors Associated with the Consumption of Alcoholic Beverages in Universities
Bibliographic record
Abstract
The objective of the research is to determine the social and economic factors associated with the consumption of alcoholic beverages and their impact on professional training through the fulfillment of academic activities of university students. It uses the deductive method, and has a descriptive level (factorial and discriminant analysis) and explanatory level (regression analysis). The questionnaire was applied as a data collection instrument, which has an index of Cronbach’s alpha of 0.745. It is applied to a sample of 98 students from a total population of 9,194 from the National University of Chimborazo, Ecuador. The results show that the alcohol consumption in university students depends significantly on the age that begins to consume, gender, marital status and frequency of consumption; there are social and economic factors associated with alcohol consumption; a high incidence of alcohol consumption in compliance with academic obligations in the professional training process.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".