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Record W2130661410

The Educational Attainment of Second Generation Immigrants in Canada: Analysis based on the General Social Survey

2008· article· en· W2130661410 on OpenAlexaboutno aff
Miroslav Kučera

Bibliographic record

VenueMunich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEducational attainmentFirst generationGeneral Social SurveyDemographic economicsDemographyPsychologySociologyGeographyPolitical scienceSocial psychologyPopulationEconomics
DOInot available

Abstract

fetched live from OpenAlex

Using data from the 2001 General Social Survey, this study focused on differences in educational attainment between the children of immigrants to Canada, referred to as second-generation immigrants, and similarly-aged children of Canadian-born parents. Two definitions of second-generation immigrants were introduced. The first considered a Canadian resident with at least one immigrant parent to be a second-generation immigrant, while the second definition required that both parents were foreign-born. All first-generation immigrants were excluded from the sample, except those who had arrived in Canada at the age of 9 or younger; these young immigrants were then included among the second-generation immigrants. The results show that second-generation immigrants did better in terms of schooling attainment than their peers born to Canadian parents. Although a part of the observed difference was explained by differences in individual characteristics, a significant disparity remained even after controlling for them. Moreover, the main result of the children of immigrants being, on average, more educated than the children of the Canadianborn was robust towards different definitions of second-generation immigrants, and held for both men and women.

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 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 score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.240
Teacher spread0.210 · 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.

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

Citations15
Published2008
Admission routes1
Has abstractyes

Explore more

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