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Record W4244393893 · doi:10.32920/ryerson.14656431

Understanding the experience of older Chinese women whose socio-economic status changed after migration to Canada.

2021· preprint· en· W4244393893 on OpenAlexaffabout
Qi Mao

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsToronto Metropolitan UniversityCentre for Social InnovationYork University
Fundersnot available
KeywordsInjusticePovertyImmigrationFeelingPower (physics)SociologyState (computer science)Gender studiesPolitical scienceEconomic growthEconomicsSocial psychologyPsychology

Abstract

fetched live from OpenAlex

This study explores the lived experiences of four elderly Chinese immigrant women in Toronto. Using a combination of the socialist feminist theory and an anti-oppressive theory as the framework, this study analyzes how these women’s “dual role”- domestic labour and waged labour and the state pension policies cause them to live in poverty. The findings of this study indicate that these women lack power and are oppressed in almost every interaction that they have within the public sphere - the labour market and the private sphere – the home. Therefore, their poverty is far beyond their personal control. It is strongly associated with social structure injustice based on gender, class, race, immigrant status, age, and state policies. The strategies developed by these women to deal with the oppressive environment and the challenges that they encounter enable them to regain a sense of comfort and connection so that they are empowered and are not feeling alone.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.175
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0150.008
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.082
GPT teacher head0.379
Teacher spread0.297 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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