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Record W4317708766 · doi:10.1080/08959420.2022.2139984

Working More and Making Less: Post-Retirement Aged Immigrant Women Care Workers in Canada

2023· article· en· W4317708766 on OpenAlex
Naomi Lightman, Hamid Akbary

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging & Social Policy · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsImmigrationDemographic economicsPensionGovernment (linguistics)WageLabour economicsEconomicsBusinessPolitical science

Abstract

fetched live from OpenAlex

Care work is typically undervalued and precarious. However, little is currently known about the financial outcomes of immigrant women care workers as they reach post-retirement age, or their access to effective social policy supports. Using Canada as a case example, this study analyzes the Longitudinal Immigration Database to compare the income trajectories of women aged 65–95 who entered the country via the Care Worker immigration entry class to immigrant women from two other immigration streams (one focused on higher skill economic contributions, the other on family reunification). Estimating a series of growth curve models (n = 28,775), results reveal that between 2007–2017, despite engaging in paid employment longer, Care Worker women were less able to make contributions to a private pension plan prior to retirement and more likely to depend on public pension benefits after reaching retirement age, relative to other immigrant women. Additionally, Care Worker women had lower predicted total income and experienced downward mobility during the post-retirement period. Together, the findings reinforce the importance of considering the financial circumstances of immigrant care workers as they age and highlight a need for renewed government investment in social supports to reduce inequalities tied to the gendered and racialized devaluation of low-wage caring occupations.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.403
Teacher spread0.347 · 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