The Political Economy of Psychiatry - Power, Knowledge, and Subjectification in the State/Psychiatry Apparatus
Bibliographic record
Abstract
Mental Health is an issue of great importance to states and governments worldwide.Mental illness is the number one cause of disabilities in Canada and globally.Psychiatry dominates mental health knowledge, discourses and policy, prioritizing a biomedical approach, producing questionable results.The concept of psychiatric disorders is criticized for lacking scientific reliability and validity, psychopharmaceuticals for inefficacy and danger, and coercive practices for violating human rights.Why then does psychiatry continue to dominate mental health policy, practices, discourses and understandings?Applying critical theory of political economy with influences from Marx, Foucault, and others, this thesis argues psychiatry's power and privilege persists through the existence of the state/psychiatry apparatus, consolidating knowledge and power in a process of psychiatric subjectification, creating psychiatric subjects -mentally ill persons.The theory is applied to Canada and Ontario, mapping and explaining the parameters and layers of the apparatus and the political economy of psychiatry.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".