Whiteout: a social history of sickle cell disease in Ontario, Canada
Bibliographic record
Abstract
What does it mean to develop health policies and services for diseases that are socially constructed as racialized in a country that continuously erases race?Sickle Cell Disease (SCD), the world's most common genetic disorder, is receiving increased policy attention as a multi-system blood disorder that disproportionately impacts Black communities in the province of Ontario, Canada.In January 2023, Ontario Health launched the quality standard, Sickle Cell Disease: Care for People of All Ages (SCD Quality Standard), positioning this document as an expression of the Province's commitment to Black health.While the SCD Quality Standard aims to redress institutional neglect, it is vulnerable to claims that it is ahistorical.This commentary therefore seeks to historicize the SCD Quality Standard by tracing the social history of SCD in Ontario during welfare state expansion and devolution.In doing so, this commentary locates the SCD Quality Standard within Canada's colonial master narrative as a white liberal democracy.Concepts of bounded justice are drawn on to examine Ontario's racialized responses to SCD and the limitations of health policy-making for social justice.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.054 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".