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Record W2164206412 · doi:10.1093/hsw/hls065

Effect of Service Barriers on Health Status of Aging South Asian Immigrants in Calgary, Canada

2013· article· en· W2164206412 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

VenueHealth & Social Work · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsImmigrationMental healthGerontologyService (business)PsychologyTelephone interviewSociocultural evolutionMedicineGeographyBusinessPsychiatrySociology

Abstract

fetched live from OpenAlex

This study examined the relationships between service barriers and health status of aging South Asian immigrants. Data were obtained through a structured telephone survey with a random sample of 220 South Asians 55 years of age and older. The effect of the different types of service barriers on the physical and mental health of participants was examined using hierarchical multiple regression, while adjusting for participants' sociocultural demographic backgrounds. An average of 5.9 types of service barriers were reported. Among the four major types of barriers--cultural incompatibility, personal attitude, administrative problems, and circumstantial challenges--more barriers related to personal attitude predicted less favorable physical and mental health. In regard to health prevention, culturally appropriate strategies should be developed and implemented to help aging South Asians to overcome barriers related to personal attitude so that they can have better access to appropriate services.

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)0.002
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 score0.295
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.324
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