The Explanatory Roles of Habit and Intention on Alcohol Consumption by Adults at Home
Bibliographic record
Abstract
Aims: The aim of this paper is to investigate the role of intention and habit in predicting adults’ drinking behaviour within the home setting. Measures: A convenience sample of 414 Australians aged between 35 and 60 were recruited through targeted Facebook advertising. Eligibility criteria for study participation included reporting consuming alcohol at least once a week at home. Participants completed self-report measures of alcohol consumption, habit strength regarding home drinking behaviour, and intentions to consume alcohol. Differences in home drinking controlling for age and gender, by level of habit, and intention were examined using ANCOVA. Results: Increases in intention were associated with an increase in home drinking. However, with habit and intention entered in the same model, only habit was a significant predictor of the amount of alcohol consumed in the home. For Australians, habit is a stronger predictor of alcohol consumption than intention. Conclusions: Given that a large proportion of people are doing the majority of their drinking when at home, home-based interventions which target the habitual nature of home consumption may help to reduce consumption and related harm.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".