Bibliographic record
Abstract
Chapter 4 shows how the embodied and enacted psychophysiology of metaphor can explain mechanisms of symbolic healing. Recent research on placebo responding and predictive processing or active inference theories in computational neuroscience suggest models for the physiology effects of placebos, imagery, and imaginative enactments. Examples drawn from traditional shamanistic practices illustrate how healing metaphors and images map bodily physiology, cognition, and experience onto metaphoric landscapes or myths. Movement in these landscapes or along an arc then gives rise to corresponding changes in physiology, cognitive, and social relationships or position, which make use of the dynamics of sensory and affective meaning, including processes of abreaction or catharsis and aesthetic distance. Healing rituals involve a hierarchy of cognitive processes that are structured metaphorically, which reaches down to physiological processes and outward to social interactions. Its multiple levels can operate in tandem to reinforce or subvert processes. This leads to a view of symbolic action and healing ritual as involving multiple parallel levels of causality and communication.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.269 | 0.102 |
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".