Patient Resistance to Psychiatric Discourse and Power
Bibliographic record
Abstract
Drawing on 5090 English reviews of 486 psychiatrists working in Canada posted on ratemds.com, this study explores how mental health service users refuse to become subjectivized by psychiatric discourse and power. We interrogate how digital mediums provide mental health service users with a community of critique to regain control over settings where there are many power imbalances. We argue that websites like ratemds.com act as a digital agora in which people are afforded the ability to make the personal political. Through critiquing their own doctors, mental health service users invert the question of what is “wrong” with them to what is “wrong” with agents of the psychiatric apparatus. By regaining a say over their treatment/conditions and insisting doctors are asking the wrong questions to better control their identities, service users refuse to accept the diagnoses, pathologies, and practices imposed on them. We discuss how their transgression in this forum provides new insights into psychiatric resistance that is of special interest to scholars and service users positioned in the Mad Studies movement.
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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 | 0.019 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.021 | 0.051 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".