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Record W4385295232 · doi:10.1177/01454455231186586

Improving Romantic Relationship Functioning Among Young Men With First-Episode Psychosis: Impact of a Novel Group Intervention

2023· article· en· W4385295232 on OpenAlexafffund
Briana Cloutier, Tania Lecomte, Félix Diotte, Justin Lamontagne, Amal Abdel‐Baki, Jean-Gabriel Daneault, Marie Eve Gélineau Rabbath, Alexandre de Connor, Cécile Perrine

Bibliographic record

VenueBehavior Modification · 2023
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de Montréal
FundersFonds de recherche du Québec
KeywordsPsychologyPsychosisIntervention (counseling)RomanceClinical psychologyDevelopmental psychologyPsychiatryPsychotherapistPsychoanalysis

Abstract

fetched live from OpenAlex

Previous research has highlighted many of the challenges faced by individuals with psychosis in romantic relationships. The present study aimed to evaluate the impact of a novel group intervention for men with first-episode psychosis (FEP) on dating success, romantic and sexual functioning, self-esteem, self-stigma, mentalizing skills, and symptomatology, while using a repeated single-case experimental design and comparing results across two treatment modalities (i.e., in-person or online). Twenty-seven participants from five treatment sites completed a 12-week group intervention. Qualitative data was also collected to assess participants' subjective experiences with the program. In both modalities, significant improvements were observed for romantic functioning, mentalizing skills, and symptomatology, with effect sizes ranging from small to large. Several participants also attended more dates and entered committed relationships after the intervention. Most participants were satisfied with the program and many felt that they had learned new skills and gained confidence in dating. Future research should replicate these findings in larger and more inclusive samples.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.061
GPT teacher head0.390
Teacher spread0.328 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations16
Published2023
Admission routes2
Has abstractyes

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