Bibliographic record
Abstract
Making Gender endeavours to understand how the HPV vaccine became gendered within the Canadian policy landscape - when the virus is gender blind and is linked to cancer in all genders - and how women's experiences with this "gendered risk" have been folded into their vaccine decision-making. Drawing on ethnographic fieldwork and archival research, Michelle Wyndham-West explores the creation and circulation of gendered risk as it was deployed in pharmaceutical and policy discourses surrounding the roll-out of the HPV vaccine. The book contextualizes the background for how gendered risk was mediated by two groups of women: mothers negotiating the vaccine for their daughters in school-based immunization programs and university students who experienced frequent HPV infections. The book explores these women's efforts to be good mothers and strong young women entering adulthood who felt vulnerable in sexual health negotiation. As a result, Making Gender reveals how vaccine decision-making took an ontological form, as an inherently social and cultural process embedded in women's experiences
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".