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Record W1491666351

Gender, Race, and Immigration: Aging and Economic Security in Canada

2013· article· en· W1491666351 on OpenAlexaffabout
Valerie Preston, Ann Kim, Samantha Hudyma, Nancy Mandell, Meg Luxton, Julia Hemphill

Bibliographic record

VenueCanadian Review of Social Policy / Revue canadienne de politique sociale · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsImmigrationPovertyPopulationPolitical scienceDemographic economicsSociologyGeographyEconomic growthDemographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

A growing share of the population in Canada comprised of aging immigrants lacks the financial resources for a secure retirement. Disproportionately visible minorities, many foreign-born seniors, have limited access to income security programs, private pensions, and savings. We examine the resulting racialization of poverty among aging immigrants in Canada with particular attention to the effects of visible minority and immigrant status and gender. Our analysis of 2006 Canadian census information confirms that many aging immigrants struggle to achieve economic security, which allows for a stable and adequate standard of living. Foreign-born seniors are more likely than Canadian-born seniors to have incomes that fall below the low-income cutoff, one measure of poverty. The percentages of Canadian-born and immigrant men and women from different ethnoracial backgrounds who have low incomes also differ substantially. Immigrant women, particularly those who are visible minorities, are the most impoverished. We advocate an intersectional approach to understanding and addressing poverty among seniors. For aging immigrants, the chances of being impoverished depend on gender and ethnoracial background as well as on place of birth. Une part croissante de la population canadienne composee d'immigrants vieillissants ne dispose pas des ressources financieres necessaires pour s'assurer une retraite sereine. Une part disproportionnee des minorites visibles, de nombreux aines nes a l'etranger, ont un acces limite aux programmes de securite du revenu, aux regimes de retraite prives et aux economies. Nous examinons ici la racialisation de la pauvrete qui en decoule parmi les immigrants vieillissants du Canada, avec une attention particuliere aux effets du genre et du statut de minorite visible ou d'immigrant. Notre analyse des renseignements issus du recensement canadien de 2006 confirme que de nombreux immigrants vieillissants doivent se battre pour obtenir la securite economique qui leur apporterait un niveau de vie stable et adequat. Les aines d'origine etrangere sont plus susceptibles que ceux d'origine canadienne d'avoir des revenus inferieurs au seuil de faible revenu, l'une des mesures de la pauvrete. Les pourcentages de Canadiens et de Canadiennes et d'immigrants hommes et femmes d'origines ethnoraciales differentes qui disposent de revenus faibles different aussi considerablement. Les immigrantes, et plus particulierement celles issues des minorites visibles, sont les plus pauvres. Nous defendons une approche croisee pour comprendre le probleme de la pauvrete parmi les aines et y remedier. Pour les immigrants vieillissants, le risque de pauvrete depend non seulement du sexe et de l'origine ethnoraciale, mais egalement du lieu de naissance.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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 designTheoretical or conceptual
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

Citations9
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Review of Social Policy / Revue canadienne de politique socialeSame topicMigration and Labor DynamicsFrench-language works237,207