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Interpersonal Forgiveness in <scp>E</scp>motion‐Focused Couples' Therapy: Relating Process to Outcome

2012· article· en· W1995600130 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 Marital and Family Therapy · 2012
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsForgivenessPsychologyShameInterpersonal communicationSession (web analytics)Outcome (game theory)FeelingSocial psychologyInterpersonal relationshipMultilevel modelPsychotherapistClinical psychology

Abstract

fetched live from OpenAlex

The objective of this study was to relate the in-session processes involved in interpersonal forgiveness to outcome. The sample consisted of 33 couples who received 10-12 sessions of Emotion-focused couple therapy with the aim of resolving various forms of emotional injuries (i.e., transgression that violates the expectations of a close relationship, which leaves one partner feeling hurt and angry). The results of the present study were based on the analyses of 205 video-taped segments from 33 couples' therapies. Hypotheses relating the role of three in-session components of resolution, the injurer's "expression of shame"; the injured partner's "accepting response" to the shame, and the injured partner's "in-session expression of forgiveness", to outcome were tested using hierarchical linear regression analyses. Outcome measures included the Enright Forgiveness Inventory (The Enright Forgiveness Inventory user's manual. Madison: The International Forgiveness Institute, 2000), the Dyadic Adjustment Scale (Journal of Marriage and Family, 1976; 13: 723) and the The Interpersonal Trust Scale (Trust; Journal of Personality and Social Psychology, 1985; 49: 95).

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 score0.138
Threshold uncertainty score0.662

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 integrity0.0000.001
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 head0.048
GPT teacher head0.330
Teacher spread0.282 · 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