The moderating effect of gender on the relationship between apprenticeship and self-employment: evidence from a developing country
Bibliographic record
Abstract
Purpose This study aims to examine the association between apprenticeship training and self-employment and how gender moderates the association. Design/methodology/approach Secondary data from the World Bank’s Skills Towards Employment and Productivity (STEP) survey on Ghana were analysed using a binary choice (logit regression) model. The STEP survey drew its nationally representative sample from the working-age population (15–64 years) in urban areas. Findings After controlling for several factors identified in the literature as determinants of self-employment, the results indicate that completing apprenticeship training increases the likelihood of being self-employed. However, women who have completed apprenticeship training are more likely to be self-employed than men. Originality/value By examining the moderating effect of gender on the association between apprenticeship training and self-employment, this study has offered new evidence that policymakers can use to promote self-employment, especially among women, to reduce the entrepreneurial gap between men and women.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".