Echoes Of Reform: The Excellent Care For All Act And Psychiatric Patient Advocacy In Ontario
Bibliographic record
Abstract
The passage of the Excellent Care for All Act (ECFAA) in June 2010 marked a significant juncture for healthcare reform in Ontario, aiming to enhance standards, optimize resources, and reduce costs across hospitals. One significant responsibility mandated under ECFAA was the requirement for a Patient Declarations of Values (PDoVs). This study delves into the foundational underpinnings of the PDoV development process, drawing from Mad Studies theory and the contemporary landscape of patient advocacy. I examine the integration of patient embodied knowledge in these PDoVs, while simultaneously identifying conspicuous absences by unpacking the assumptions within "patient engagement" and its role in shaping the medico-legal discourse surrounding patient rights within the psychiatric milieu. This study reveals challenges for advocacy within psychiatric settings and underscores the importance of revitalizing praxis for capacity building in community activism in order to shape the future landscape of mental healthcare provision and the safeguarding of patient rights.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.041 | 0.033 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".