“One Blood Clot Is One Too Many”: Affected Vocal Users’ Negative Perspectives on Controversial Oral Contraceptives
Bibliographic record
Abstract
In this article, I analyze women's negative experiences with the fourth generation of contraceptive pills: controversial drugs Yaz and Yasmin. Drawing on in-depth interviews with 24 contraceptive users residing in Canada, I highlight how women who have experienced deleterious side effects understand the risks of hormonal contraception and advocate for changes in health risk communication and prescription drug regulation. Findings show that interviewees did not feel they received adequate risk information prior to starting their new drug regimen nor did they think that pregnancy risks should be used as a comparison point for placing hormonal contraceptive risk into perspective. Patient views were generally underlined by a critique of professional risk/benefit assessment techniques and procedures. To illustrate how the modern complexities of health risk assessment extend to the realm of hormonal contraceptives, I here provide a detailed examination of women's negative experiences while on the pill.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".