When Lay Knowledge is a Symptom: The Uses of Insight in Psychiatric Interventions
Bibliographic record
Abstract
In psychiatry, the concept of “insight” commonly refers to a patient’s judgment that they have a mental illness and need clinical treatment. However, this concept has been criticized because it imposes psychiatric knowledge on the subjective experiences of mental illness and possible interventions. A significant body of literature is critical of mental health interventions; however, insight remains under-explored in this realm. This paper adds to critical analyses of insight by exploring how it is defined and deployed by mental health professionals in an acute inpatient mental health unit in a Canadian general hospital and what disciplinary and epistemic effects it has on patients. To this end, I draw on Foucault’s theories of psychiatric power and Fricker’s concept of epistemic injustice to analyze results from an ethnographic study conducted in an inpatient mental health unit. The results show how patients’ resistance to medical compliance is framed by staff as a lack of insight, which reinforces the psychiatric model of mental illness.
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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 | 0.021 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.063 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.008 |
| 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 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".