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Record W2151896228 · doi:10.1080/10503307.2013.879620

Ambivalence in emotion-focused therapy for depression: The maintenance of problematically dominant self-narratives

2014· article· en· W2151896228 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
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsYork University
FundersFundação para a Ciência e a Tecnologia
KeywordsAmbivalenceOutcome (game theory)NarrativeNoveltyPsychologyPsychotherapistDepression (economics)DevaluationClinical psychologySocial psychologyEconomicsKeynesian economicsFinancePhilosophy

Abstract

fetched live from OpenAlex

OBJECTIVE: Ambivalence can be understood as a cyclical movement between an emerging narrative novelty-an Innovative Moment (IM)-and a return to a problematically dominant self-narrative. The return implies that the IM, with its potential for change is devalued right after its emergence. Our goal is to test the hypothesis that the probability of the client expressing such form of ambivalence decreases across treatment in good-outcome cases but not in poor-outcome cases. METHOD: Return-to-the-Problem Markers (RPMs) signaling moments of devaluation of IMs were coded in passages containing IMs in six clients with major depression treated with emotion-focused therapy: three good-outcome cases and three poor-outcome cases. RESULTS: The percentage of IMs with RPMs decreased across therapy in good-outcome cases, whereas it remained unchanged and high in the poor-outcome cases. CONCLUSIONS: These results were consistent with the theoretical suggestion that therapeutic failure may be associated with this form of ambivalence.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.439
Teacher spread0.362 · 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