An invisible problem: stigma and FASD diagnosis in the health and justice professions
Bibliographic record
Abstract
Purpose Fetal alcohol spectrum disorder (FASD) is a complex lifelong disorder impacting the brain and body. Individuals with FASD may require lifelong supports and are at a higher risk of experiencing adverse outcomes, including incarceration. Individuals with FASD face stigma related to FASD that impacts disclosure of the diagnosis and access to supports. The prevalence of FASD exceeds that of other developmental disabilities, yet it remains less visible and stigmatized. Design/methodology/approach Interviews conducted with health-care and justice professionals in a Canadian province explore their experiences attending to FASD and challenges of stigma. Findings While difficult to access, diagnosis provides a pathway to supports and is crucial in the criminal justice process. Visibility and invisibility in health and justice systems highlight the lack of understanding of FASD and surrounding stigma. When unaddressed, individuals with FASD face additional challenges stemming from a lack of information and strategies by professionals involved in their lives. Originality/value Stigma represents a significant and complex issue intertwined in understandings of FASD. This research explores this relationship and the mechanisms through which FASD stigma has impacts in health-care and justice settings.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".