Fighting for Deinstitutionalization in Nova Scotia: Emerald Hall Human Rights Case
Bibliographic record
Abstract
Those who have not been following the human rights complaint, MacLean v Nova Scotia, should start paying attention now. The case will be heard at the Nova Scotia Court of Appeal in November. People First Canada, CACL and the Council of Canadians with Disabilities will intervene.\nAt stake is whether institutionalization counts as discrimination - and what, if anything, human rights can do to respond.\nBeth MacLean, Joey Delaney and Sheila Livingstone, all persons labeled with intellectual disabilities, brought the complaint to the Nova Scotia human rights commission in 2014. The Disability Rights Coalition [DRC] joined in the complaint.\nMacLean, Delaney and Livingstone each lived for many years in a locked hospital ward reserved for people labeled with intellectual and mental health disabilities (Emerald Hall). MacLean lived there for over 15 years, the others for about a decade.\nMacLean testified to the human rights tribunal last year that Emerald Hall was a noisy, chaotic, highly distressing place. She hated it and wanted to leave. There was no medical reason for her to stay. But she, like Delaney and Livingstone, hadn't the funds to purchase community living supports. And the province's disability support program offered them no alternatives.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".