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Record W2321815812 · doi:10.1017/s0714980800015026

The Impact of Ethnicity on Helping Older Relatives: Findings From a Sample of Employed Canadians

2000· article· fr· W2321815812 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 · 2000
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsUniversité de MontréalMcMaster UniversityMount Saint Vincent University
Fundersnot available
KeywordsEthnic groupHumanitiesEthnologyPolitical scienceSociologyArtAnthropology

Abstract

fetched live from OpenAlex

RÉSUMÉ Cette étude examine la relation entre l'appartenance ethnique et l'aide fournie aux aîné(e)s de la famille. On a utilisé un échantillonnage de canadien(ne)s sur le marché du travail ( N = 2 753), et un sous-échantillonnage du Réseau canadien de recherche sur le vieilhssement pour examiner dans quelle mesure l'appartenance ethnique influence l'ampleur de l'aide fournie aux aîné(e)s d'une famille. Les résultats de notre enquête nous portent à croire que les Asiatiques, les habitants des Indes orientates et les Européens du Sud fournissent des niveaux d'aide plus importants que les Britanniques. Le devoir filial influe sur l'ampleur de l'aide fournie tout en jouant un rôle similaire au sein de chaque ethnie. Cependant, les facteurs structurels, notamment les conditions de logement et l'âge, constituent des variables explicatives plus importantes du niveau d'engagement à aider les aîné(e)s d'une famille que les facteurs culturels de devoir filial et d'appartenance à un groupe ethnique particulier.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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