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Record W2021799564 · doi:10.1080/10503307.2014.901572

The impact of early empathy on alliance building, emotional processing, and outcome during experiential treatment of depression

2014· article· en· W2021799564 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

VenuePsychotherapy Research · 2014
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsYork University
Fundersnot available
KeywordsEmpathyPsychologyAllianceExperiential learningPsychotherapistSession (web analytics)Clinical psychologyDepression (economics)Social psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examined the relationships among the therapist process of expressed empathy during first sessions, clients' post-session one alliance reports, clients' later working phase emotional processing, and clients' final reductions in depressive symptoms for 30 clients receiving short-term experiential therapy for depression. METHOD: The therapist process of expressed empathy was assessed using a new observer-rated measure: the measure of expressed empathy, which was demonstrated to be valid and reliable. RESULTS: Results indicate that therapist expressed empathy in session one significantly affected the outcome, albeit indirectly. This indirect effect occurred through two direct effects on other important therapy processes that did directly predict client outcomes: (i) Therapist expressed empathy in first sessions directly and positively predicted client reports of first-session alliances; and (ii) therapist expressed empathy directly predicted observer-rated deepened client emotional processing in the working phase of therapy. CONCLUSIONS: Empirical support was provided for the theorized relationships in experiential theory amongst the variables examined.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.204

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 head0.077
GPT teacher head0.482
Teacher spread0.405 · 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