How identity is produced and experienced in the context of mandated community‐based mental health care: An application of the theories of Grosz and Foucault
Bibliographic record
Abstract
Despite changes to research and practice, that, to some degree, acknowledge that people are shaped by their contexts, the treatment of mental illness remains largely focused on interventions that take place at the level of the individual. Conceptualizing mental illness as something that resides in individuals can lead to reliance on neurobiological and psychotherapeutic solutions, and away from conversations about not only contextual causes of mental distress, but also sociopolitical solutions to mental distress. Further, it can lead to the use of mental health interventions that focus on the biology of an individual without a consideration for how those interventions themselves may have psychological, social, or political consequences that act to shape an individual's identity, agency, and relationship to their community. This paper examines one medicolegal intervention, the community treatment order, using the philosophical work of Grosz and Foucault to consider how this intervention affects the experience and construction of identity, and the impact of this on an individual's sense of agential membership in a community. This discussion aims to increase understanding of the individual and social implications of interventions for mental illness, and provide a conceptualization of the relationship between identity, agency, and ethics which can inform critical research and nursing practice more broadly.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.058 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".