Risky Technologies: Systemic Uncertainty in Contraceptive Risk Assessment and Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Focusing on the controversial birth control pills Yaz and Yasmin, this article explores how debates about the safety of these drugs have materialized in risk evaluations and the management of technological risk. Drawing on in-depth interviews with stakeholders and content analysis of legal, medical, and regulatory documents, I highlight how professional contraceptive risk assessment is characterized by systemic uncertainty and doubt, resulting in increased responsibility for users themselves to manage the drugs’ potentially increased risks of venous thromboembolism. The analysis centers on three key areas in the assessment process that denote disagreement: risk measurement in postmarket surveillance data, the distinctiveness of the drugs’ benefits when compared to other contraceptive technologies, and the weighing of the risks and benefits against each other. While professionals negotiate uncertainty both in epidemiological research and in clinical practice, users are constructed as agents who should manage risk individually. Such processes are underlined by a diffusion of responsibility in the systemic management of contraceptive risk. This article suggests, more broadly, that medical technologies can be conceptualized as artifacts that are instrumental in the dispersion of risks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | Science and technology studies Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it