Explaining Attitudes towards Self‐employment among Immigrants: A Canadian Case Study
Bibliographic record
Abstract
ABSTRACT Implicit in Canada's immigration policies is that some immigrants are endowed with a particular entrepreneurial spirit, and that this spirit relates to immigrants’ origin. This paper examines whether attitudes towards entrepreneurship indeed relate to origin, or whether they can be explained through labour market circumstances at the place of settlement and/or Canada's immigrant selection procedure. The empirical study focuses on the reported attitudes towards entrepreneurship. A survey of 509 Vancouver residents of a predominantly Chinese immigrant neighbourhood, a predominantly South Asian immigrant neighbourhood, and a neighbourhood of non‐immigrants reveals that ethnic origin is a weak indicator of entrepreneurial attitudes. Instead, urban or rural background emerges as a more powerful predictor. The results also raise doubts about whether the Canadian government's immigration policy, which selects immigrants on the basis of economic potential, indeed selects immigrants with a greater desire to become self‐employed. Furthermore, the amount of time immigrants have spent in Canada does not significantly affect attitudes towards entrepreneurship.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".