Making gender along the way: women, men and harm in Australian alcohol policy
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
Analysis of alcohol policy suggests women are marked out for special attention while men and masculinities are often ignored. In this paper, we employ Carol Bacchi’s work on ‘gendering practices’ and John Law’s concept of ‘collateral realities’ to examine how gender is constituted in Australian alcohol policy. For Bacchi, policies actively produce what it is possible for ‘men’ and ‘women’ to become. For Law, realities are constituted through methodological instruments and representational practices. We analyze the making of three collateral realities in Australian alcohol policy: gender as an individual attribute; gender as a synonym for women; and gender as confined to the domestic sphere. These collateral realities contribute to the maintenance of binary notions of gender and reinforce a straightforwardly causal role for alcohol in harms, including violence. Attention to the political effects of these ‘realities’ should be prioritized in the development of more equitable responses to alcohol and harm.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it