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The Clinical Representativeness of Couple Therapy Outcome Research

2007· review· en· W2167372714 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

VenueFamily Process · 2007
Typereview
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsNational Defence Medical CentreUniversité LavalDepartment of National DefenceUniversité de Montréal
Fundersnot available
KeywordsRepresentativeness heuristicGeneralizability theoryMarital TherapyOutcome (game theory)PsychologyClinical psychologyRating scaleClinical trialMedicineDevelopmental psychologySocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

The clinical representativeness of outcome studies is defined as the generalizability of recruitment processes, assessment/diagnostic procedures, treatment protocols, and therapeutic results from research settings to naturalistic treatment settings. The main goal of the present study was to examine the clinical representativeness of couple therapy in outcome studies. The data set was formed by 50 published clinical trials, including 34 couple therapy outcome studies for marital distress (CTMD) and 16 couple therapy outcome studies for comorbid relational and mental disorders (CTMD + C). The present findings showed that, overall, the clinical representativeness of couple therapy outcome studies is only fair (i.e., the mean global score is slightly lower than the midpoint of the rating scale used to assess representativeness). CTMD + C studies fared better than CTMD studies on many dimensions of clinical relevance. Studies in which pretherapy training was less intensive (for CTMD studies only), treatment was less structured, and therapists were more experienced showed larger effect sizes than those in which such was not the case.

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)0.008
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.725
GPT teacher head0.731
Teacher spread0.007 · 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