Shadows of culture in psychosis in south India: A methodological exploration and illustration
Bibliographic record
Abstract
Transcultural studies suggest a possible influence of culture on the course and outcome of schizophrenia. However, the notion of culture remains ill-defined in these studies; most often, hypotheses regarding protective factors seem to derive more from stereotyped visions of cultural differences than be empirically based. Explorative studies conducted in south India consider subjective experience as a key mediating variable between culture and course and outcome in schizophrenia. They explore patients and relatives experience and its evolution and aim at identifying the explicit and implicit references to culture throughout the narratives. Ethnographically oriented data collected through an open-ended Turning Point/Period Interview systematically reconstructs the perceived evolution of signs, coping, explanations, reactions and help-seeking from different perspectives. This paper examines the degree of convergence and divergence between narratives collected from a small sample of female schizophrenic patients and one of their relatives. A high degree of convergence at the level of symptoms and differences in their narrative construction are observed.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".