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Record W2080141862 · doi:10.1037/0022-006x.73.5.861

Emotional arousal, client perceptual processing, and the working alliance in experiential psychotherapy for depression.

2005· article· en· W2080141862 on OpenAlexaff
Tanya M. Missirlian, Shaké G. Toukmanian, Serine H. Warwar, Leslie S. Greenberg

Bibliographic record

VenueJournal of Consulting and Clinical Psychology · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsYork University
FundersNational Institute of Mental Health
KeywordsPsychologyArousalPsychotherapistClinical psychologyPsychopathologyInterpersonal communicationAlliancePerceptionMultilevel modelExperiential learningSensory processingInterpersonal relationshipCognitive psychologySensory systemSocial psychology

Abstract

fetched live from OpenAlex

Early-, middle-, and late-phase client emotional arousal, perceptual processing strategies, and working alliance were examined in relation to treatment outcome on 4 measures in 32 clients who previously underwent experiential therapy for depression. Hierarchical regression analyses relating these variables to outcome indicated that results varied depending on the therapeutic process, phase of treatment, and outcome measure involved in the analyses. Mid-therapy arousal predicted improvements in self-esteem, whereas mid- and late treatment perceptual processing predicted reductions in client interpersonal dysfunction. Emotional arousal in conjunction with perceptual processing during mid-therapy predicted reductions in depressive and psychopathological symptomatology better than either of these variables alone. The implications of these findings for psychotherapy research and practice are discussed.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.099
GPT teacher head0.485
Teacher spread0.386 · 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 designOther design
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

Citations117
Published2005
Admission routes1
Has abstractyes

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