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Record W2097070813 · doi:10.1017/s0714980810000188

Types and Factor Structure of Barriers to Utilization of Health Services among Aging South Asians in Calgary, Canada

2010· article· fr· W2097070813 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2010
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsGerontologyFactor (programming language)GeographyMedicineComputer science

Abstract

fetched live from OpenAlex

RÉSUMÉ Souvent, les personnes aînés de groupes ethniques minoritaires éprouvent obstacles différents à l’access aux services de santé. Généralement, les études ont porté sur les groupes combinés d’immigrants âgés ou sur minorités ethno-culturels importantes, tels que les Chinois au Canada ou les Afro-américains et Latino-Américains aux États-Unis. Cette étude visait à examiner les types des facteurs qui constituent des obstacles à l’utilization des services de santé rencontrés à Calgary, Alberta, Canada, par les immigrés vieillissants d’Asie du Sud. Un sondage téléphonique a été utilisé pour rassembler des données d’un échantillon aléatoire d’immigrants d’Asie du Sud âgés de 55 ans et plus. L’analyse des éléments principaux a révélé quatre types principaux d’obstacles: l’incompatibilité culturelle; les attitudes personnelles; les problèmes administratifs dans la livraison et les défis posés par les circonstances.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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