Interdictions and Benedictions: A Discursive Analysis of AIDS Prevention Materials from Vancouver Canada 1983-1999
Bibliographic record
Abstract
This study identifies differing interests that have impacted how Acquired Immune Deficiency Syndrome (AIDS) prevention programs in Vancouver have evolved. Drawing largely upon the writings of Michel Foucault with respect to power, knowledge and sexuality, discursive trends in materials are identified, categorized and compared to consider how pertinent subjugated knowledges have developed. The interplay between knowledge-regimes (the benedicted) and subjugated knowledges (the interdicted) are explicated through textual analyses of the materials collected. The findings suggest that knowledges cultivated within the male gay communities of Vancouver ensured the implementation of prevention programs contextually relevant to their own milieu. These strategies were eventually integrated into broader prevention initiatives designed for mainstream society, once their efficacy was apparent. Implications for community education and public health education are discussed, and areas for future research are identified. Résumé La présente étude identifie des intérêts distincts qui ont influencé l'évolution des programmes de prévention du syndrome d'immuno- déficience acquise (sida) à Vancouver. L'étude, qui s'appuie en grande partie sur des écrits de Michel Foucault se rapportant au pouvoir, à la connaissance et à la sexualité, identifie, classe par catégories et compare les tendances discursives trouvées dans la documentation. Ceci permet d'examiner la manière dont les connaissances subjuguées se sont développées. L'interaction entre les régimes de la connaissance (le bénit) et les connaissances subjuguées (l'interdit) est expliquée par des analyses textuelles portant sur les documents qui ont été amassés. Selon les résultats, les connaissances cultivées au sein des communautés d'hommes homosexuels de Vancouver ont permis la mise en œuvre de programmes de prévention adaptés au milieu. Une fois leur efficacité éprouvée, ces stratégies ont également été intégrées à des initiatives de prévention plus larges et destinées à l'ensemble de la société. En outre, cette étude discute des répercussions de ces programmes pour la formation communautaire et la formation en matière de santé publique, et identifie de possibles avenues de recherche.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.012 | 0.016 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".