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Record W1984448279 · doi:10.1521/jaap.2008.36.1.49

The Challenge of Chronic Pain: A Psychoanalytic Approach

2008· article· en· W1984448279 on OpenAlexaff
Graeme J. Taylor

Bibliographic record

VenueJournal of the American Academy of Psychoanalysis and Dynamic Psychiatry · 2008
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsPsychoanalytic theoryChronic painDistressPsychotherapistObject relations theoryPelvic painPsychologyPsychiatryMedicineSurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.283
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2008
Admission routes1
Has abstractyes

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