‘Think before you drink’: Challenging narratives on foetal alcohol spectrum disorder and indigeneity in Canada
Bibliographic record
Abstract
Foetal Alcohol Spectrum Disorder (FASD) has emerged as a significant public health issue, in Canada and elsewhere. Health experts increasingly acknowledge that the disproportionate impact of FASD on indigenous people is driven by social and historical contexts, especially in settler colonial states like Canada. However, they generally frame FASD as preventable through abstinence and the effects of FASD as manageable through provision of appropriate medical and legal protection to affected offspring. Drawing from Marxist, anticolonial and anti-imperial theories and applying a Critical Discourse Analysis approach, we identify the (re) production of colonial and capitalist dominance in the expert literature. We show that dominant narratives depoliticize FASD by conceptualizing settler colonialism as a past event, ignoring ongoing, contemporary forms of settler colonial dispossession and resituating FASD within an expert language that locates solutions to FASD within affected individuals and communities. In so doing, these narratives legitimize, and contribute to perpetuating, existing disease inequities, prevent the formulation of policies that address the very real and as yet unmet needs of FASD affected individuals, families and communities and erase from the public discourse discussions about changes that could truly address FASD inequities at their root. We conclude by elaborating on the implication of these narratives for policy, practice and equity, in Canada and other settler colonial states.
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.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.052 | 0.029 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| 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".