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Record W1553092722

The Relationship of Therapist Verbal Response Mode and Client Good Moments in Short Term Dynamic Psychotherapy

2001· article· en· W1553092722 on OpenAlexvenueno aff
Jack De Stefano, Antonio Bernardelli, Anastassios Stalikas, Shigeru Iwakabe

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2001
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)PsychologyPsychotherapistTerm (time)Mode (computer interface)Association (psychology)Nonverbal communicationClinical psychologyDevelopmental psychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Using a single case quantitative analysis, the relation between therapist verbal response mode and client good moments was examined to provide information about the process of a short-term dynamic psychotherapy (STDP) developed by Davanloo (1978, 1980). Independent judges rated three sessions (early, middle and late) of a complete sixteen session treatment using the Hill Counselor Verbal Response Category System-Revised (HCVRCS-R) (Friedlander, 1982) and the Category System of Client Good Moments (CSCGM) (Mahrer, 1988). Chi-square analyses revealed a significant association between therapist verbal responses and the subsequent occurrence of client good moments. The results are discussed in terms of their clinical and research implications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.350
Teacher spread0.323 · 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 designObservational
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

Citations4
Published2001
Admission routes1
Has abstractyes

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