Typology of Canadian Alcohol Users
Bibliographic record
Abstract
Objectives: The aim of this paper is to propose a multidimensional typology of drinking in Canada according to use, contexts, and motivations to drink, and to explore the extent to which these profiles are associated with gender and age. Methods: Data are drawn from the 2005 Canadian Survey as part of the project “Gender, Alcohol, and Culture: An International Study.” The subsample consisted of 876 men and 848 women. Multiple correspondence analysis (MCA) and hierarchical cluster analysis (HCA) were undertaken to ascertain drinking profiles. Results: MCA and HCA identified six sociocultural drinking profiles in which distinctive drinking patterns, contexts, and motivations were observed. Conclusions: The variability of drinking styles in Canadian society demonstrates cohabitation and hybridization of “wet” and “dry” cultures—“ideal types” of two drinking cultures. This study revealed the complexity of drinking practices among the Canadian population and the necessity of focusing on social dimensions in order to enhance our understanding of alcohol use.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".