It’s a Shame! Stigma Against Fetal Alcohol Spectrum Disorder: Examining the Ethical Implications for Public Health Practices and Policies
Bibliographic record
Abstract
Stigma can influence the prevention and identification of fetal alcohol spectrum disorder (FASD), a leading cause of developmental delay in North America. Understanding the effects of public health practices and policies on stigma is imperative. We reviewed social science and biomedical literatures to understand the nature of stigma in FASD and its relevance from an ethics standpoint in matters of health practices and policies (e.g., diagnostic practices, awareness campaigns). We propose (i) a descriptive model of stigma in FASD and note current knowledge gaps; (ii) discuss the ethical implications of stigma based on two distinct criteria (dignity and consequences); and (iii) describe two cases and the concerns associated with inadvertent stigmatization by public health initiatives for FASD. We recommend further empirical and ethical analyses to examine whether public health policies and practices inadvertently stigmatize and impact the success of public health initiatives and programs for FASD.
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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 | 0.038 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| 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".