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Record W2126685247

Socioeconomic Attainment of Visible Minority Immigrant Women in Canada

2013· article· en· W2126685247 on OpenAlexaffabout
Kamrul Islam

Bibliographic record

VenueRePEc: Research Papers in Economics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImmigrationSocioeconomic statusEducational attainmentOccupational prestigeDemographic economicsContext (archaeology)PrestigeCensusPsychologySociologyDemographyPolitical scienceGeographyEconomic growthPopulationEconomics
DOInot available

Abstract

fetched live from OpenAlex

This study examines the impact of age at immigration on socioeconomic attainment of visible minority immigrant women in Canada using data from the 2001 Census of Canada. Multivariate regression analysis indicates that among visible minority immigrant women child immigrants have higher educational attainment, and higher occupational prestige and higher income attainment than teen immigrants. The interaction effect shows that child immigrant women of visible minority have higher educational attainment, higher occupational prestige and higher income attainment compared to teen immigrant women of not visible minority. These findings are explained in the context of a theoretical framework that considers, among other factors, the importance of differential parental expectations for their immigrant children with regard to educational attainment.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.285
Teacher spread0.273 · 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 designObservational
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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueRePEc: Research Papers in Economics→Same topicMigration and Labor Dynamics→French-language works237,207→