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The Essence of Process-Experiential/Emotion-Focused Therapy

2007· review· en· W2135093301 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

VenueAmerican Journal of Psychotherapy · 2007
Typereview
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsYork University
Fundersnot available
KeywordsAttunementExperiential learningPsychologyPsychotherapistProcess (computing)Task (project management)Gestalt therapyExistentialismEmpathyGestalt psychologySocial psychologyEpistemologyPedagogyComputer scienceMedicineManagement

Abstract

fetched live from OpenAlex

Process-Experiential/Emotion-Focused Therapy (PE-EFT) is an empirically-supported, neo-humanistic approach that integrates and updates person-centered, Gestalt, and existential therapies. In this article, we first present what we see as PE-EFT's five essential features, namely neo-humanistic values, process-experiential emotion theory, person-centered but process-guiding relational stance, therapist exploratory response style, and marker-guided task strategy. Next, we summarize six treatment principles that guide therapists in carrying out this therapy: achieving empathic attunement, fostering an empathic, caring therapeutic bond, facilitating task collaboration, helping the client process experience appropriately to the task, supporting completion of key client tasks, and fostering client development and empowerment. In general, PE-EFT is an approach that seeks to help clients transform contradictions and impasses into wellsprings for growth.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.423
Teacher spread0.374 · 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