A disaggregated view of soft skills: Entrepreneurship education systems of Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Much of the literature on entrepreneurship education describes the teaching concept as a whole, which means that additional work must be done to tease out its individual components. Accordingly, this study focuses on soft skills—a core component of entrepreneurship education that represents entrepreneurial behaviors, attitudes, and attributes. It examines the mechanisms underlying soft skills and entrepreneurial readiness by drawing on a mediated model of entrepreneurship education and 300 observations on aspiring South African entrepreneurs. Regression tests reveal that while soft skills determine the entrepreneurial readiness of these entrepreneurs, their impact on their ability to start, innovate, finance, and grow new ventures is mediated by the entrepreneurial processes that define their entrepreneurial journeys. This has academic, policy, and social implications as it increases the importance of developing contextual insights into the facets of soft skills in an African country to inspire policy reforms that support African entrepreneurship.
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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) | 0.001 | 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