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Record W3191791186 · doi:10.1111/jmft.12544

Impact of repeating somatic cues on the depth of experiencing for withdrawers and pursuers in emotionally focused couple therapy

2021· article· en· W3191791186 on OpenAlexaff
Sari Kailanko, Stephanie A. Wiebe, Giorgio A. Tasca, Aarno Laitila

Bibliographic record

VenueJournal of Marital and Family Therapy · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of OttawaSaint Paul University
FundersJyväskylän Yliopisto
KeywordsPsychological interventionPsychologyIntervention (counseling)Exploratory researchPsychotherapistClinical psychologySession (web analytics)Experiential learningPsychiatry

Abstract

fetched live from OpenAlex

Emotionally Focused Couple Therapy, an experiential modality, views emotion central to therapeutic change. In this exploratory study, we examined therapists' repetition of somatically focused interventions (therapist verbalizing somatic cues, such as facial expressions) and their impact on clients' emotional experiencing in-session. We also assessed difference for withdrawing versus pursuing partners. The sample included 13 EFT therapists who worked with one couple each for a single session. From transcripts we coded therapists' repetition of somatically focused interventions and clients' depth of experiencing pre-and post-intervention. Multilevel modeling demonstrated that a higher number of repetitions of somatically focused interventions predicted greater increase in depth of experiencing, unlike length of time spent repeating interventions. Somatically focused interventions resulted in greater increase in depth of experiencing for withdrawing as compared to pursuing partners. The results of this exploratory study suggest that such interventions may be a specific technique of EFT therapists that enhances emotional experiencing especially among withdrawing partners.

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)0.000
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 score0.760
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.053
GPT teacher head0.357
Teacher spread0.303 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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