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Record W2013137630 · doi:10.1080/14733140802014331

The manifestation of transference during early psychotherapy sessions

2008· article· en· W2013137630 on OpenAlexaff
Catherine Tellides, Marilyn Fitzpatrick, Martin Drapeau, Rob Bracewell, Jennifer Janzen, Alexia Jaouich

Bibliographic record

VenueCounselling and Psychotherapy Research · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsPsychologyPsychotherapistTheme (computing)PopulationClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract Despite the clinical use of therapeutic transference across various schools of psychotherapy, there have been relatively few empirical studies of this phenomenon, none of which has examined transference with a non‐pathological population. In this study, the core conflictual relationship theme (CCRT) method was used to examine the manifestation of therapeutic transference in the first three sessions of 22 counselling contracts with high‐functioning individuals. Factor analyses of the wish (W) and response of other (RO) components of the CCRT indicate a complementary pattern of relating in which the therapist is idealised and others are devalued. Within the response of self (RS) component, clients exhibited a concordant relational transfer whereby they had a negative response to both the therapist and others. Additionally, control issues emerged in the W component for significant others and in the RS component for the therapist.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.128
GPT teacher head0.440
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2008
Admission routes1
Has abstractyes

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