Spinning the revolving door: The governance of non-compliant psychiatric subjects on community treatment orders
Bibliographic record
Abstract
This article examines the enactment of community treatment orders (CTOs) in Alberta, Canada to illustrate how civil law is used to constitute and govern psychiatric patients in the community. I argue that the logic of CTOs constitutes the psychiatric patient as a fractured subject who is simultaneously capable/incapable of making medical decisions and at risk/risky. These paradoxical characterizations highlight how depictions of rationality and choice are contingent on consenting to a pharmacological regime designed to normalize these patients. This construction functions to eliminate opportunities for rationally informed types of non-compliance and promotes hospitalization as the only way to manage harmful, risky and non-conforming individuals. I contend that CTOs are a flawed instrument of regulation that cannot manage ‘legally’ capable but non-compliant individuals.
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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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.061 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| 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".