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Record W2130075216 · doi:10.1017/s0144686x13000913

Living arrangements and loneliness of South Asian immigrant seniors in Edmonton, Canada

2013· article· en· W2130075216 on OpenAlexaffabout
Cheuk Fan Ng, Herbert C. Northcott

Bibliographic record

VenueAgeing and Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of AlbertaAthabasca University
Fundersnot available
KeywordsLonelinessSpouseFeelingImmigrationPsychologyGerontologyMedicineSociologySocial psychologyGeography

Abstract

fetched live from OpenAlex

ABSTRACT This paper examines the relationships between self-reported loneliness and living arrangements. A structured questionnaire with some open-ended questions was administered face-to-face in English, Hindi or Punjabi to a sample of 161 elderly South Asian immigrants 60 or more years of age living in Edmonton, Alberta, Canada in 2003. The majority of respondents said that they never felt lonely. More than one in three (37.3%) respondents indicated that they felt lonely occasionally, frequently or all of the time. Those living alone were significantly more likely to report feeling lonely at least occasionally than were those living with others, especially those living with their spouse in an extended family. The fact that South Asian immigrant seniors typically lived with others, often in an extended family with or without their spouse, and rarely lived alone protected them to some extent from loneliness. However, our findings showed that among those living with others, it was the amount of waking time spent alone at home and the quality of family relationships rather than living arrangement per se that significantly predicted self-reported loneliness. Nevertheless, living in a larger household was associated with spending less time alone. We discuss plausible influences of culture on expectations regarding family and social relationships and on the meaning of being alone, as well as practical implications for addressing loneliness in a multi-cultural society.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.209

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 studies0.0000.000
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 head0.005
GPT teacher head0.217
Teacher spread0.212 · 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

Citations33
Published2013
Admission routes2
Has abstractyes

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