Bibliographic record
Abstract
Chapter 9 explores the origins of healing authority and its experiential grounding. Sociological accounts of authority usually refer to institutional power. Many elementary systems of medicine connect healers’ own initiatory illness and affliction to their knowledge and power. This connection is explicit in the Greek myth of Asklepios and was taken up by others in terms of the archetype of the wounded-healer. This ethos of the wounded-healer reflects a relational structure present in the dynamics of the clinical encounter. Healers’ relationship to their own wounds not only conveys symbolic power but can evoke specific psychological and interpersonal dynamics that may contribute to the effectiveness of treatment. In this symbolic logic of healing, the healer’s own wounds become sources of wisdom when they are confronted rather than denied. The ways this attitude may be learned and embodied are illustrated by a series of dreams with images of wounding and healing during psychiatric training. This ethos has implications for understanding the epistemic authority of healers, the training of clinicians, and addressing basic issues in intercultural health care.
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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 | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".