Protecting Rights and Building Capacities: Challenges to Global Mental Health Policy in Light of the<i>Convention on the Rights of Persons with Disabilities</i>
Bibliographic record
Abstract
The World Health Organization (WHO) has identified mental health as a priority for global health promotion and international development to be targeted through promulgation of evidence-based medical practices, health systems reform, and respect for human rights. Yet these overlapping strategies are marked by tensions as the historical primacy of expert-led initiatives is increasingly subject to challenge by new social movements - in particular, disabled persons' organizations (DPOs). These tensions come into focus upon situating the WHO's mental health policy initiatives in light of certain controversies arising under the Convention on the Rights of Persons with Disabilities (CRPD), particularly as it applies to persons with mental (psychosocial) disabilities. I examine two such controversies - concerning, respectively, the legitimacy of involuntary psychiatric interventions and the legitimacy of regimes of substitute decision-making. These controversies illustrate the radical challenges to global and domestic mental health policy that have gained new momentum through the participation of DPOs in the CRPD process. At the same time, they illustrate the need for ongoing, inclusive forums for deliberation at the nexus of mental health policy and human rights, aimed at enabling human flourishing within a framework of respect for 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 | 0.028 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.093 |
| Scholarly communication | 0.028 | 0.025 |
| Open science | 0.002 | 0.023 |
| Research integrity | 0.020 | 0.018 |
| 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".