Aboriginal Social Policy: A Critical Community Mental Health Issue
Bibliographic record
Abstract
Community psychologists offer relevant tools for pursuing critical reflection on the nature of social policy, with special consideration of power inequities that often arise from the misrepresentation of affected stakeholders. This article examines the critical role researchers and community health practitioners can play in guarding against the misrepresentation of community voices in neoliberal policy environments. We identify the extreme harm caused by socially exclusive policy-making in an examination of the institutional oppression of Aboriginal peoples across Canada. We caution against the dangers of perpetuating neoliberal agendas and token participation via the misuse of community engagement. We emphasize the important role of community psychologists in challenging the status quo, for engaging stakeholders in authentic participation, and in policy development. We conclude with recommendations to broaden and improve the policy skills of community psychologists and other mental health professionals to more effectively advance social policy and actualize the potential for transformative social change in Aboriginal communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".