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Record W7020165493

Intersectionality in Canada's 'Caregiver Program': The Impact of Race, Class, and Gender on Filipina Women in the 'Global Care Chain'

2023· article· en· W7020165493 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - CSUMB (California State University, Monterey Bay) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIntersectionalityGovernment (linguistics)DevaluationFace (sociological concept)Position (finance)Public policy
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the experiences of migrant Filipina caregivers in Canada under the Live-in Caregiver's Program (LCP) and the subsequent Caregivers Program (CP), focusing on the intersecting factors of race, class, and gender. Through a literature review, the study investigates the distinct and precarious position occupied by Filipina migrant caregivers, who face marginalization by the Canadian government. The framework of the 'global care chain' proposed by Aggarwal and Das Gupta (2013) and the concept of the 'international transfer of caretaking' presented by Parreñas (2000) are employed to illuminate the devaluation of 'women's work,' particularly that performed by migrant Filipina and other non-white women. The implications of this research call for comprehensive actions to address the injustices outlined in the paper. It is recommended that the government invest in robust public childcare services, recognize reproductive labor as legitimate work, and grant migrant workers permanent residency status upon arrival, enabling them to assert their labor rights effectively.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.268
Teacher spread0.249 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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