‘No more of this macho bullshit’: drug treatment, place and the reworking of masculinity
Bibliographic record
Abstract
Health geography has largely failed to engage with the topic of masculinity. This absence is surprising for several reasons, not least because health geography has close ties to social geography, where a burgeoning scholarship on masculinity has developed in recent years. In this paper, we contribute to what Thien and Del Casino ( ) envision as a more robust health geography for men. We do so through a detailed analysis of men's experiences within one form of health care setting, drug treatment programmes, drawing on qualitative data from participant observation and interviews at multiple treatment sites. Particular attention is given to understanding the ways in which the delivery of health care is dependent upon treatment programmes’ ability to problematise masculinities associated with the heavy consumption of drugs and alcohol, while concurrently showing men how to practise an alternative model of healthy masculinity. These objectives are accomplished through the structured domesticity of treatment programmes and through intensive relational work aimed at reworking the masculine self.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.052 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".