Dwelling with Multiplicity: Negotiating Borders in the Lifeworld of First Episode Psychosis
Bibliographic record
Abstract
This paper explores intersections of cure, harm, diagnostic practices, and lifeworlds of mental disability within the field of first episode psychosis. Drawing on findings from a collaborative art workshop developed within an ethnographic study of first episode psychosis, we contrast the experience and phenomenology of psychosis within the art workshops with the construction of psychosis in traditional clinical spaces. Engaging concepts of dwelling, borderlands, and lifeworld within this context, we detail how the workshops countered the ways in which institutional and methodological structuring of narratives of psychosis reinforce diagnostic boundaries. In contrast to the clinical setting, a fuller lifeworld was experienced through witnessing the aesthetics of artwork that was created within the project.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.028 | 0.108 |
| Scholarly communication | 0.021 | 0.023 |
| Open science | 0.003 | 0.037 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".