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Record W4401657833 · doi:10.1080/1369183x.2024.2390057

Im/migration, mental health and well-being, and newcomer Filipino families: implications for anti-racist and anti-oppressive policies and practice

2024· article· en· W4401657833 on OpenAlexaffabout
Jessica Ellen Ticar

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsMental healthNegotiationSocial workSociologyService providerGender studiesService (business)Public relationsPolitical sciencePsychologyPsychiatrySocial scienceLawBusiness

Abstract

fetched live from OpenAlex

This article draws upon the perspectives of newcomer Filipino families who have migrated through the global domestic work industry, specifically through Canada's Live-in/Caregiver Program (L/CP), and the perspectives of Filipino social service providers in Toronto, Ontario, Canada. I examine how newcomer Filipino families make meaning of, and negotiate, the impact of family separation and reunification through the L/CP on their mental health and well-being. Moreover, I look at how Filipino social service providers center the experiences of newcomer Filipino families within service provision through an anti-racist and anti-oppressive framework, which has implications for policies and praxis in community-based agencies. The paper moves from deficit-focused experiences of ‘trauma’ to centring the voices of newcomer Filipino families as agents of change, in collaboration with Filipino social service providers. This shift illuminates how newcomer Filipino families and their lived experiences are sites of transformation in the policy and practices that impact their mental health and well-being.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.440
Teacher spread0.381 · 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 designQualitative
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
Published2024
Admission routes2
Has abstractyes

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