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Record W4402167839 · doi:10.1521/bumc.2024.88.3.197

Hope for all? Investigating the moderating effect of social inhibition on the association between hope and outcome in an integrative group therapy program

2024· article· en· W4402167839 on OpenAlexaff
Michał Mielimąka, David Kealy, Ingrid Söchting, John S. Ogrodniczuk

Bibliographic record

VenueBulletin of the Menninger Clinic · 2024
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsModerationContext (archaeology)PsychologyOutcome (game theory)Clinical psychologyAssociation (psychology)Depression (economics)Quality of life (healthcare)Social environmentGroup psychotherapyPsychotherapistMedicineSocial psychology

Abstract

fetched live from OpenAlex

Existing research supports the therapeutic value of hope in different therapies and for diverse patient groups. Patients who are socially inhibited tend to have a particularly difficult time in group therapy, and the experience of hope in that context may be especially poignant for them. The present study investigated the impact of hope on the outcome of a group-based treatment and whether this impact differed for patients depending on their level of social inhibition. The sample consisted of 49 consecutively admitted patients who completed treatment in an intensive, integrative group therapy program. Patients completed four self-report measures to assess hope, social inhibition, quality of life, and depression. Regression with moderation analysis was employed. The analyses revealed that social inhibition significantly moderated the impact of hope on treatment outcome, indicating that hope had a more pronounced effect among those patients with relatively higher levels of social inhibition.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.355
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 head0.381
Teacher spread0.333 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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