Bibliographic record
Abstract
This book explores the relationship between subjective experience and the cultural, political and historical paradigms in which the individual is embedded. Providing a deep analysis of three compelling case studies of schizophrenia in Turkey, the book considers the ways in which private experience is shaped by collective structures, offering insights into issues surrounding religion, national and ethnic identity and tensions, modernity and tradition, madness, gender and individuality. Chapters draw from cultural psychiatry, medical anthropology, and political theory to produce a model for understanding the inseparability of private experience and collective processes. The book offers those studying political theory a way for conceptualizing the subjective within the political; it offers mental health clinicians and researchers a model for including political and historical realities in their psychological assessments and treatments; and it provides anthropologists with a model for theorizing culture in which psychological experience and political facts become understandable and explainable in terms of, rather than despite each other. Meaning, Madness, and Political Subjectivity provides an original interpretative methodology for analysing culture and psychosis, offering compelling evidence that not only "normal" human experiences, but also extremely "abnormal" experiences such as psychosis are anchored in and shaped by local cultural and political realities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".