The Exit and Survival Patterns of Immigrant Entrepreneurs: The Case of Private Incorporated Companies
Bibliographic record
Abstract
It is well established that, in most Western countries, rates of small-business ownership tend to be higher among immigrants than among the native-born. In Canada, the overall shares of taxfilers who owned a private incorporated business in 2010 were similar for immigrants (4.6%) and the Canadian-born (4.8%). However, the rate of business ownership was substantially higher (5.8%) among immigrants who had been in Canada for 10 to 30 years. Much less is known about exit and survival patterns of immigrant-owned businesses as there is only a small body of international literature on this topic and little Canadian evidence. This paper addresses this gap by answering two questions. First, do exit and survival patterns (durations) of firm ownership differ between immigrants and individuals born in Canada? Second, what characteristics are associated with lower (or higher) exit rates from business ownership and longer ownership spells among immigrants? The analysis is limited to ownership of private incorporated firms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".