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Record W4366778124 · doi:10.1080/01924788.2023.2204578

Feasibility of Increasing Social Participation for Older Adults with Disabilities

2023· article· en· W4366778124 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueActivities Adaptation & Aging · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de MontréalCentre for Interdisciplinary Research in RehabilitationUniversité du Québec à Trois-RivièresCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Sherbrooke
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsPsychologyAcronymQualitative researchSocial mediaMedical educationGerontologyApplied psychologySociologyMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

This study aimed to adapt the personalized citizen assistance for social participation (APIC; French acronym for Accompagnement-citoyen personnalisé d’intégration communautaire) approach for older adults with disabilities and explore its feasibility. A qualitative clinical research design, including interviews, was used with 19 older adults with disabilities. They met with their nonprofessional attendant (citizen supervised by the research team) about 20 times and 16 of them completed the APIC. Personal facilitators and barriers to physical, intellectual, manual, artistic and social interaction experiences were related to health and sensory, motor or behavioral capabilities, including psychological and emotional availability. Results also highlighted environmental facilitators (e.g., paratransit, social support) and barriers (e.g. inaccessibility, weather, over-protective family). The APIC represents new opportunities for older adults to achieve community integration and enhance their social life and resources, while confirming the feasibility of addressing the global “aging well” priority.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.108
GPT teacher head0.420
Teacher spread0.312 · 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