MétaCan
Menu
Back to cohort
Record W1655095997 · doi:10.56105/cjsae.v20i2.1105

Unveiling the invisible learning from unpaid household work: Chinese immigrants' perspective

2007· article· en· W1655095997 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2007
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsImmigrationPerspective (graphical)SociologyUnpaid workWork (physics)Adult educationGender studiesMigrant workersLabour economicsEconomicsPolitical scienceEconomic growthPedagogyArtVisual arts

Abstract

fetched live from OpenAlex

This paper examines unpaid household work and the informal learning involved in it, with the focus on new Chinese immigrants in Canada. The data used in this paper are drawn from two sources: the 2004 Canadian Survey on Work and Lifelong Learning , and in-depth interviews with 20 new Chinese immigrants in Toronto, Canada. The survey section examines data on informal learning through housework and general interest-related activities, with a focus on the comparison of three groups of Canadians: Canadian-born, other immigrants, and Chinese immigrants. The survey data explore how gender, immigration, and ethnicity influence the informal learning involved in performing the unpaid household activities. The interview section explores the impact of cross-cultural immigration on household work among new Chinese immigrants and the knowledge and skills they acquired through such work. Through the analysis of both the quantitative and qualitative data, the author argues that unpaid household work and the learning involved in it are not only gendered, but also classed, and that household work is constantly changing throughout one’s lifetime; thus, informal learning involved in such work is lifelong as well as lifewide. Résumé Cet article se penche sur le travail domestique non rémunéré et l’apprentissage informel qui s’y rattache, plus spécifiquement auprès d’immigrants chinois nouvellement arrivés au Canada. Les données utilisées proviennent de deux sources : un sondage pan-canadien mené en 2004 par le réseau Work and Lifelong Learning (WALL) et des entrevues menées auprès de vingt immigrants chinois, nouvellement établis à Toronto, Canada. La section qui se rapporte au sondage de WALL examine des données relatives à l’apprentissage informel par le travail domestique, et des activités d’intérêt général, auprès de trois groupes différents : canadiens de souche, autres immigrants et immigrants chinois. Les données de WALL s’attardent à la façon dont le sexe, l’immigration et la race influencent l’apprentissage informel impliqué dans le travail domestique non rémunéré. La section qui se rapporte aux entrevues mesure l’impact de l’immigration interculturelle sur le travail domestique chez les nouveaux immigrants chinois; elle fait aussi état des connaissances et compétences acquises par l’entremise de ce travail. À travers l’analyse de données qualitatives et quantitatives, l’auteur argumente que le travail domestique non rémunéré et l’apprentissage informel qui s’y rattache ne sont non seulement liés au sexe, mais aussi à la classe sociale, et que le travail domestique est en constant changement tout au long de la vie. Par conséquent l’apprentissage informel qui s’y rattache se prolonge tout au long et dans toutes les facettes de la vie.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.996

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 studies0.0050.000
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 head0.050
GPT teacher head0.388
Teacher spread0.339 · 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