Agency, embodiment and enactment in psychosomatic theory and practice
Bibliographic record
Abstract
In this paper, we examine some of the conceptual, pragmatic and moral dilemmas intrinsic to psychosomatic explanation in medicine, psychiatry and psychology. Psychosomatic explanation invokes a social grey zone in which ambiguities and conflicts about agency, causality and moral responsibility abound. This conflict reflects the deep-seated dualism in Western ontology and concepts of personhood that plays out in psychosomatic research, theory and practice. Illnesses that are seen as psychologically mediated tend also to be viewed as less real or legitimate. New forms of this dualism are evident in philosophical attacks on Engel's biopsychosocial approach, which was a mainstay of earlier psychosomatic theory, and in the recent Research Domain Criteria research programme of the US National institute of Mental Health which opts for exclusively biological modes of explanation of illness. We use the example of resignation syndrome among refugee children in Sweden to show how efforts to account for such medically unexplained symptoms raise problems of the ascription of agency. We argue for an integrative multilevel approach that builds on recent work in embodied and enactive cognitive science. On this view, agency can have many fine gradations that emerge through looping effects that link neurophenomenology, narrative practices and cultural affordances in particular social contexts. This multilevel ecosocial view points the way towards a renewed biopsychosocial approach in training and clinical practice that can advance person-centred medicine and psychiatry.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.074 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".