Precarious versus Entrepreneurial Origins of the Recently Self‐Employed: Work and Family Determinants of Canadians’ Self‐Employment Transitions
Bibliographic record
Abstract
We investigate the wage work and family determinants of self‐employment entry using a panel study of Canadian workers (Canadian Work Stress and Health Study). Rather than treating the self‐employed as a homogenous group—a characterization that conflates entrepreneurial ventures with lower quality and more precarious self‐employment—we disaggregate self‐employment entrants by occupational class. Descriptive analyses show that the nonprofessional self‐employed—the most common form of self‐employment observed in the study—are considerably more likely to report low income (<$25,000) and insufficient work hours compared to wage workers and the professional self‐employed. Event history analyses based on a multinomial logistic model also reveal that poor wage‐work quality—including low income, job insecurity, and unchallenging work—increases the likelihood of a transition from wage work into nonprofessional self‐employment. In contrast, job autonomy and human capital predict an increased likelihood of a transition into professional self‐employment. Our results suggest that both classic entrepreneurial and forced motivations explain self‐employment entry when the self‐employed's occupational class is distinguished; however, findings are mixed regarding the salience of work‐family factors in predicting self‐employment entry. We discuss the value of using a “good jobs, bad jobs” perspective to disaggregate the pathways from wage work into lower versus higher quality self‐employment.
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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 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".