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Record W2047889725 · doi:10.1080/02692171.2014.907245

Occupational skill attainment in Canada: the role of gender, nativity status and ethnic origin

2014· article· en· W2047889725 on OpenAlexaffabout
Najma R. Sharif

Bibliographic record

VenueInternational Review of Applied Economics · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsMultinomial logistic regressionEthnic groupForeign bornOccupational segregationCensusEducational attainmentOccupational prestigeImmigrationDemographic economicsHuman capitalDemographyCountry of originGeographySociologySocioeconomic statusPolitical scienceEconomicsLabour economicsWagePopulationEconomic growthStatistics

Abstract

fetched live from OpenAlex

This paper examines how ethnic origin and gender interact to shape the occupational skills attainment of native and foreign born workers in Canada. Of special interest is how the occupational profile of the foreign-born evolves over time relative to that of the native-born, by gender and ethnic origin. We estimate multinomial logit models from 1991 and 2006 census data, and then simulate occupational profiles of the native and foreign-born of different ethnic origin, controlling for human capital characteristics. We find that native and foreign-born women display the 'glass-ceiling' and 'sticky-floor' syndrome in that they are significantly underrepresented in management positions and overrepresented in clerical positions relative to men, more significantly if their education was not acquired in Canada. There is variation by ethnic origin, and all groups display significant occupational mobility over time. But even after 15 years, foreign-born occupational distributions differ substantially from those of the native-born.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2014
Admission routes2
Has abstractyes

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