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Record W2170190132 · doi:10.1177/00030651000480031901

Patient-Therapist Match: Revelation or Resistance?

2000· article· en· W2170190132 on OpenAlexaff
Susan C. Vaughan, Steven P. Roose

Bibliographic record

VenueJournal of the American Psychoanalytic Association · 2000
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsColumbia College
Fundersnot available
KeywordsOperationalizationCountertransferencePsychologyTransferencePsychoanalytic theoryProcess (computing)Resistance (ecology)Domain (mathematical analysis)PersonalityEpistemologyPsychoanalysisPsychotherapistSocial psychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Patient-therapist match is a relatively new yet frequently invoked concept within psychoanalysis. Despite Freud's appreciation of the influence of the analyst's past to his or her work within the analytic setting, psychoanalysts have historically held varied opinions about the degree to which the analyst's personality and conflicts affect the analytic process. As analysis was reconfigured as a two-person system, attention focused on the fit between patient and analyst. The literature on patient-therapist match is reviewed, and the conclusion reached that this intuitively appealing concept suffers from a lack of rigorous definition and operationalization. Many authors invoke match in ways that imply that it is real, static, external to the domain of analytic inquiry, and unaffected by analytic process. In its present form, the concept of patient-therapist match obstructs rather than facilitates analytic exploration and obscures rather than clarifies what happens between analyst and analysand in psychoanalysis. By suggesting that match exists as a reality outside the domain of transference and countertransference, analysts may overlook the importance of psychoanalytic technique in creating a sense of match. Analysts may attribute stalemated or limited analyses to a bad match, rather than tenaciously exploring the transference-countertransference configurations that remain at the heart of analytic work.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.319
Teacher spread0.308 · 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.

Study designNot applicable
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

Citations15
Published2000
Admission routes1
Has abstractyes

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