Multivariate analysis of ethnic migrants' entrepreneurial motivation in Ghana
Why this work is in the frame
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Bibliographic record
Abstract
This study was a cross-sectional survey, and it sought to determine the multivariate structure of factors affecting the self-employment entrepreneurial motivation of internal ethnic migrant entrepreneurs in Ghana. A total of 210 entrepreneurs were selected through simple random sampling in the four major cities in Ghana. High dimensional sets of data produced from a Likert scale with 71 indicator variables of migrant entrepreneurial motivation factors, which were incorporated into a structured questionnaire, were factor analysed, using SPSS version 21. The findings revealed that the significant influences on the entrepreneurial motivation of this group of ethnic migrant entrepreneurs, consisted of factors such as relational social capital or informal personal networks, wealth creation through human capital development, lack of fear of risks taking, impact of a previous job, the effect of the regulatory environment, labour market-based unemployment, access to start-up capital through personal savings, culture, and increase wealth motivation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it