Estudio transcultural del modelo de cinco factores de motivos de consumo de alcohol en universitarios españoles y canadienses
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
This study aims to test the cross-cultural suitability of Modified Drinking Motives Questionnaire-Revised (M DMQ-R) (Grant, Stewart, O'Connor, Blackwell, & Conrod, 2007). The sample included 571 Spanish and 571 Canadian undergraduates between the ages of 18 and 22 (65.8% women). The confirmatory factor analysis demonstrated factorial invariance between samples. The regression analysis showed that social, enhancement and low conformity motives were related to drinking frequency and drinking quantity in the total sample. No moderation effect of country on predicting alcohol consumption was found. The results suggest that M DMQ-R is a suitable instrument for comparing drinking motives across Spanish and Canadian undergraduates, and that motives-focused prevention and treatment programmes developed in one country could be generalised to another.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it