‘I have a healthy relationship with alcohol’: Australian midlife women, alcohol consumption and social class
Bibliographic record
Abstract
Alcohol consumption by Australian women during midlife has been increasing. Health promotion efforts to reduce alcohol consumption in order to reduce alcohol-related disease risk compete with the social contexts and value of alcohol in women's lives. This paper draws on 50 qualitative interviews with midlife women (45-64 years of age) from different social classes living in South Australia in order to gain an understanding of how and why women might justify their relationships with alcohol. Social class shaped and characterized the different types of relationships with alcohol available to women, structuring their logic for consuming alcohol and their ability to consider reducing (or 'breaking up with') alcohol. We identified more agentic relationships with alcohol in the narratives of affluent women. We identified a tendency for less control over alcohol-related decisions in the narratives of women with less privileged life chances, suggesting greater challenges in changing drinking patterns. If classed differences are not attended to in health promotion efforts, this might mitigate the effectiveness of alcohol risk messaging to women.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".