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Record W396868269

A Comparison of the Earnings of the Canadian Native-Born and Immigrants, 2001

2006· article· en· W396868269 on OpenAlexvenueaboutno aff
M. Reza Nakhaie

Bibliographic record

VenueCanadian ethnic studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEarningsNative-BornDemographic economicsCensusPolitical scienceDemographyGeographySociologyEconomicsPopulation
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT/RESUME Since the late 1960s, Canada has been reforming its earlier discriminatory immigration policies preventing entry of individuals from undesirable countries and/or nationalities. This resulted in a dramatic increase in the number of immigrants from non-European countries. Despite more democratic immigration policies, new arrivals still tended to experience significant barriers in terms of labour market integration. Data from the 2001 census was used in this paper to evaluate the earnings of thirty-one ethno-racial groups in Canada. Particular attention was paid to the differences between immigrants and native-born, Whites and visible minorities. I also examined the extent to which income return on education differed between ethno-racial groups and across time. Analyses show that earnings gaps were substantially greater among immigrants than among the native-born. Immigrants, particularly visible minority immigrants, earned substantially less than their British counter-parts. They also experienced a lower rate of return on educational investments. Moreover, there is evidence that the earnings of visible minority immigrants have deteriorated. Among native-born Canadians, visible minorities as a group earned slightly less than non-visible minorities. However, many of the ethno-racial earnings gaps are statistically insignificant. Similarly, native-born Europeans differed little from the charter groups and from each other. Theoretical and policy implications of these findings are discussed. Depuis les annees 1960, le Canada a effectue une reforme au niveau de ses politiques d'immigration discriminatoires qui empechaient l'entree d'individus de nationalites indesirables ou provenant de pays qualifies pareillement. Par consequent, le Canada a ete temoin d'une augmentation du nombre d'immigrants venant de pays non-europeens. Malgre les politiques d'immigration dites plus democratiques, les nouveaux venus rencontrent toujours des obstacles importants qui les empechent d'integrer efficacement le marche du travail. Cet article se base sur des donnees tirees du recensement de 2001 afin d'evaluer les revenus de 31 groupes ethnoraciaux au Canada, en se penchant particulierement sur les differences entre les immigrants et les individus nes au Canada, entre les blancs et les minorites visibles. De plus, il compare la difference entre les groupes ethnoracianx au niveau des avantages economiques tires de l'investissement fait en education. L'analyse demontre que les differences sont beaucoup plus importantes chez les immigrants que chez les natifs. Parmi les immigrants, les Europeens, notamment ceux de minorites visibles, gagnent substantiellement moins que leurs pairs britanniques. De plus, l'investissement qu'ils font au niveau de leur education mene a un retour monetaire moindre. Les donnees indiquent qu'il y aurait une diminution des revenus des immigrants de minorites visibles. Parmi les individus nes au Canada, les minorites visibles gagnent un peu moins que les individus issus de minorites non-visibles. Toutefois, les differences de revenus ne sont pas statistiquement significatives. De meme, il existe peu de difference entre les individus nes en Europe et la majorite culturelle ou meme entre eux. La conclusion de l'article discute des consequences theoriques ainsi que politiques de ces resultats. INTRODUCTION A recent Statistics Canada report revealed that visible minorities are soon expected to constitute more than half the population of major Canadian cities. A Globe and Mail article referring to this population shift was entitled Visible Majority by 2017 (Mahoney 2005). Given the legacy of exclusion and inequality for visible minorities in Canada, such a demographic shift represents various unique and novel challenges for policy-makers. Failure to anticipate and address these challenges may result in significant dissatisfaction, racial unrest, and conflict. The purpose of this paper is to evaluate the extent to which ethno-racial groups designated as visible minorities are economically integrated into Canadian society, attending to their earnings compared to the charter and European groups while also distinguishing immigrants from native-born Canadians. …

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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)0.001
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 score0.016
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.088
GPT teacher head0.385
Teacher spread0.296 · 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

Citations35
Published2006
Admission routes2
Has abstractyes

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