MétaCan
Menu
← Back to cohort
Record W4234343967 · doi:10.32920/ryerson.14653161

Working the second shift, settling in Canada and other struggles; narratives of working African-immigrant mothers in Toronto.

2021· preprint· en· W4234343967 on OpenAlexaffabout
Muno Mohamed Osman

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCarleton UniversityToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsImmigrationGender studiesNarrativeSociologyFace (sociological concept)Qualitative researchWork (physics)Political scienceSocial science

Abstract

fetched live from OpenAlex

This research study explores the experiences of working African immigrant mothers in accessing formal childcare services in Toronto. I start the study with an over view of the literature on the topics of access to childcare service and women’s labour force participation. I then review social reproduction and black feminist theories; the theoretical framework for my research. I also highlight the current state of childcare in Canada and how this affects African immigrant mothers who work. The study includes qualitative in-depth interviews with four such mothers who talk about their challenges and experiences in balancing work and family responsibilities in Toronto. The study found that the mothers are dissatisfied with several aspects of the childcare services they use or have used in the past. The mothers also face many struggles owing to patriarchal gender norms in their households and loss of extended family supports after immigration.

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)0.004
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 score0.153
Threshold uncertainty score0.307

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0250.011
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.003
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 head0.061
GPT teacher head0.341
Teacher spread0.280 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicEmployment and Welfare Studies→French-language works237,207→