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Record W7046160636

Claiming a life of permanence: Filipina caregivers' migration experiences in Canada's live-in caregiver program

2011· dissertation· en· W7046160636 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsCitizenshipContext (archaeology)Government (linguistics)Inclusion (mineral)CourageSocial workLocal government
DOInot available

Abstract

fetched live from OpenAlex

Drawing on in-depth interviews with migrant caregivers, community workers and government employees, this thesis explores the dream among Filipina women working in Canada"s Live-In Caregiver Program (LCP) to build a life in Canada.Uncovering the Luisa Barbe Rey took me into their home in Uruguay.As a participant in a Canada World Youth exchange, I lived with Eduardo, Luisa and their four children for three months, learning of the challenges they had experienced with the region"s economic crisis.In sharing their lives with me, I experienced firsthand the decision of a family to migrate as a survival strategy.In this difficult economic time, I had never seen anyone work harder than Luisa, to keep her family together.In completing this thesis, there were many late nights.When I felt as though I was running low on steam, it was Luisa"s example of dedication and hard work that kept me going.I am forever grateful to the Barbe Rey family for sharing their lives with me and setting me on the path to understanding Canada"s role in international migration.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.083
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0470.013
Scholarly communication0.0060.002
Open science0.0020.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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
Published2011
Admission routes2
Has abstractyes

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