Embodying Equality: Stigma, Safety and Clément Gascon’s Disability Justice Legacy
Bibliographic record
Abstract
This article explores two disability justice legacies of Justice Clément Gascon. One legacy is embodied in his personal narrative of disability. Another legacy is jurisprudential and seen in his legal reasoning. On his embodied legacy, the article juxtaposes Justice Gascon’s widely publicized anxiety attack with Justice Le Dain’s private forced resignation following his hospitalization for depression thirty years earlier. This comparison reveals how, in many ways, attitudes around disability have not progressed, but rather reconfigured into more palatable forms. And on his jurisprudential legacy, this article conducts a critical disability theory analysis of Justice Gascon’s dissent in Stewart v. Elk Valley Coal Corp. In so doing, it highlights the ideological undercurrents that shape Canadian law, the link between ableism in society and ableism on the Court, and the importance of incorporating disability in contemporary discourse around judicial diversity.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.056 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 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".