Influence of Immigration Policies on Supply of Ethnic Business Entrepreneurs in Canada
Bibliographic record
Abstract
Traditional theories deal with ethnic business mainly from the perspectives of structural opportunities and ethnic group characteristics. While they explain very well why some ethnic groups have higher rates of business formation and ownership than others, much less attention has been paid to the role of government policies in regulating the inflow of business immigrants and channelling ethnic entrepreneurs and related resources into different business sectors. Using Canada as a case study, this paper examines how changes in immigration policies have influenced business immigrant flows and ethnic business development (since most ethnic businesses are initiated and run by immigrants). This study found that the recent changes in Canada’s immigration programs have resulted in substantial decrease in the inflow of business immigrants, and may turn many resourceful business immigrants to the competing countries of the U.S., Australia and the UK, which all have more affordable and less restrictive investment requirements. The paper suggests that future studies of ethnic business should be expanded to include immigration policies as an explicit facilitating or restricting factor. Keywords: immigration policy; business immigrants; ethnic business; Canadian immigration
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".