How do ‘Public’ Values Influence Individual Health Behaviour? An Empirical-Normative Analysis of Young Men’s Discourse Regarding HIV Testing Practices: Table 1.
Bibliographic record
Abstract
Philosophical arguments stemming from the public health ethics arena suggest that public health interventions ought to be subject to normative inquiry that considers relational values, including concepts such as solidarity, reciprocity and health equity. As yet, however, the extent to which 'public' values influence the 'autonomous' decisions of the public remains largely unexplored. Drawing on interviews with 50 men in Vancouver, Canada, this study employs a critical discourse analysis to examine participants' decisions and motivations to voluntarily access HIV testing and/or to accept a routine HIV test offer. Within a sub-set of interviews, a transactional discourse emerged in which the decision to test features an arrangement of 'giving and receiving'. Discourses related to notions of solidarity emphasize considerations of justice and positions testing as a 'public' act. Lastly, 'individualistic' discourses focused on individual-level considerations, with less concern for the broader public 'good'. These findings underscore how normative dimensions pertaining to men's decisions to test are dialectically interrelated with the broader social and structural influences on individual and collective health-related behaviour, thereby suggesting a need to advance an explicit empirical-normative research agenda related to population and public health intervention research.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".