Fictions of Prevention: Fetal Alcohol Spectrum Disorder and Narratives of Responsibility
Bibliographic record
Abstract
Abstract This article starts with a question: what sociopolitical and/or sociocultural factors are flattened in prevention narratives? Focusing on the case of Fetal Alcohol Spectrum Disorder (FASD) and drawing on narratives and practices that argue FASD is 100% preventable—this article argues these fictions of prevention strip the very context within which a particular medical phenomenon is occurring. Focusing on legislation in Alaska and proposed amendments to the Criminal Code in Canada that target FASD, layered with interview material, the article analyzes policy and practices that could impact women's reproductive health through troublesome frameworks of cost and responsibility. The article illustrates the potentially negative impact of policies and discourses that frame FASD as 100% preventable. The article argues that overly simplistic, or purposefully simplistic, understandings of the condition serve to mask the broader structural issues that demand attention including legacies of colonialism and structural inequality. In so doing, this article illustrates the ways in which prevention practices have implications in the areas of women's reproductive health, law and policy, social justice, and welfare.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.059 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".