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Record W4205432185 · doi:10.1002/jclp.23300

How Plan Analysis can inform the construction of a therapeutic relationship

2022· article· en· W4205432185 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicCognitive and psychological constructs research
Canadian institutionsUniversity of Windsor
FundersIsrael Science Foundation
KeywordsTherapeutic relationshipSession (web analytics)Perspective (graphical)Plan (archaeology)Process (computing)Outcome (game theory)

Abstract

fetched live from OpenAlex

The construction of a positive therapeutic relationship was shown to be related with outcome in psychotherapy, but there are only a few prescriptive concepts helping the therapist to contribute to such a process. The present case illustrates the use of Plan Analysis (PA) and the motive-oriented therapeutic relationship (MOTR) in the explanation of the construction of a positive therapeutic relationship. We analyze the case of Sharon, a 22-year-old student presenting with major depressive disorder. We present the case formulation according to PA and select Session 7 from the therapeutic process to illustrate three moments of the therapist focus on the underlying motives: (a) a first moment when the therapist presents with nonoptimal features of responding to the patient's profile, (b) a second moment when the therapist intervenes optimally, and (c) a third moment when the therapist intervenes excellently. We discuss this case from the perspective of personalizing psychotherapy.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.458
GPT teacher head0.556
Teacher spread0.098 · 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