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Record W1966431118 · doi:10.1300/j027v23n03_03

Use of Home Care Services by Elderly Chinese Immigrants

2004· article· en· W1966431118 on OpenAlexaffabout
Daniel W. L. Lai

Bibliographic record

VenueHome Health Care Services Quarterly · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsImmigrationMedicineGerontologyGeography

Abstract

fetched live from OpenAlex

Using the Anderson Service model, this study examined the level and predictors of using selected home care services by elderly Chinese immigrants in Canada. Data from 1,537 randomly selected Chinese immigrants aged 65 years and older were used. Only 5.2% of participants reported using home care services. Being older, living alone, having a post-secondary education, immigrating from Hong Kong or Southeast Asia, having a higher level of agreement with Chinese health beliefs, higher social support, and poorer physical and mental health were predictors for home care service use among elderly Chinese. The probability of using homecare services lessens with increased self-rated financial adequacy. These findings point to the need for service providers to address the gap in use of home care between elderly Chinese immigrants and overall elderly Canadians through promoting appropriate use of home care among elderly Chinese immigrants.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.278
Teacher spread0.272 · 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.

Study designQualitative
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

Citations25
Published2004
Admission routes2
Has abstractyes

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