Bibliographic record
Abstract
Although patients with medically unexplained chronic pain are sometimes referred for psychiatric consultation, it is rare for them to be recommended for a psychoanalytically informed treatment. Moreover, because they experience their distress as primarily physical, it is difficult to engage such patients in psychoanalysis. Nonetheless, the psychoanalytic understanding of conversion symptom formation, and of how childhood trauma and adverse attachment experiences impact on the mind-brain-body-complex, can be integrated with the current neuromatrix theory of pain and thereby offer a comprehensive theoretical model and guide for the psychoanalytic treatment of some patients with chronic pain syndromes. The author illustrates this approach by reporting the analysis of a patient with chronic pelvic pain who had obtained no relief from a host of medical and psychiatric therapies. The analytic process of linking the pain with emotional trauma and pathologic internal object relations, and thereby symbolizing the pain, allowed the patient to discover multiple meanings for the symptom and make important life changes as the pain subsided.
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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 | 0.007 | 0.011 |
| 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 | 0.042 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| 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".