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Record W3214424104 · doi:10.1111/eip.13231

Adapting, updating and translating the Social Functioning Scale to assess social, recreational and independent functioning among youth with psychosis in diverse sociocultural contexts

2021· article· en· W3214424104 on OpenAlexafffund
Nicole Pawliuk, Ashok Malla, Greeshma Mohan, Aarati Taksal, Megan A. Pope, Max Birchwood, Ramamurti Mangala, Padmavati Ramachandran, Heleen Loohuis, Norbert Schmitz, Ridha Joober, Jai Shah, R. Thara, Srividya N. Iyer

Bibliographic record

VenueEarly Intervention in Psychiatry · 2021
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersNational Institute of Mental HealthFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNational Institutes of HealthCanada Research Chairs
KeywordsCronbach's alphaPsychologyRecreationScale (ratio)Context (archaeology)Intervention (counseling)Clinical psychologyDevelopmental psychologySocial functioningPsychometricsSocial psychologyInterpersonal relationshipPsychiatryGeographyCartography

Abstract

fetched live from OpenAlex

AIM: To compare social, recreational and independent functioning among persons with psychosis across two geo-cultural contexts, we adapted the well-established Social Functioning Scale (SFS) and translated it into French and Tamil. We present the development and psychometric testing of this adaptation, the SFS-Early Intervention. METHODS: Sixteen items were added to reflect contemporary youth activities (e.g., online games) and 31 items adapted to enhance applicability and/or include context-specific examples (e.g., 'church activity' replaced with 'religious/spiritual activity'). Psychometric properties and participant feedback were evaluated. RESULTS: Test-retest reliability (ICCs) ranged from 0.813 to 0.964. Internal consistency (Cronbach's α) ranged from .749 to .936 across sites and languages. Correlations with original subscales were high. The scale was rated easy to complete and understand. CONCLUSIONS: The SFS-Early Intervention is a promising patient-reported measure of social, recreational and independent functioning. Our approach shows that conceptually sound existing measures are adaptable to different times and contexts.

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)0.000
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 score0.060
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.323
Teacher spread0.286 · 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

Citations5
Published2021
Admission routes2
Has abstractyes

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