The Impact of Ethnicity on Helping Older Relatives: Findings From a Sample of Employed Canadians
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".