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Record W3123819861

Choice or Necessity: Do Immigrants and Their Children Choose Self-employment for the Same Reasons?

2012· preprint· en· W3123819861 on OpenAlexaffabout
Teresa Abada, Feng Hou, Yuqian Lu

Bibliographic record

VenueRePEc: Research Papers in Economics · 2012
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsStatistics CanadaWestern University
Fundersnot available
KeywordsImmigrationCensusEarningsDemographic economicsSample (material)Ethnic groupCohortSelf-employmentNative-BornEconomicsLabour economicsGeographySociologyDemographyPopulationMedicineEntrepreneurship
DOInot available

Abstract

fetched live from OpenAlex

Using a generational cohort method and the 1981 and 2006 Canadian Census 20 per cent sample files, this study examines whether the effects of three important determinants of self-employment – expected earnings differentials between paid and self-employment, difficulties in the labour market, and ethnic enclave – differ between immigrants and non-immigrants. Unemployment had a stronger push effect on self-employment among immigrant fathers than among Canadian-born fathers. Expected earnings differential had a stronger effect among Canadian-born fathers than among immigrant fathers. Sons of both immigrants and the Canadian-born were more strongly affected by expected earnings differentials than were their fathers, while unemployment was not a significant factor for them. Ethnic enclave was not positively associated with the self-employment rates among both immigrants and their children.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.350
Teacher spread0.302 · 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
Published2012
Admission routes2
Has abstractyes

Explore more

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