Expertise, university infrastructure and approaches to new venture creation: assessing students who start businesses
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
Within the broader literature on contextual determinants of effectual and causal cognitive logics, the paper explores the drivers of causal and effectual reasoning in student-founders of new ventures, particularly focusing on the role of university entrepreneurship-related offerings and student prior business experience. Using the Global University Entrepreneurial Spirit Students’ Survey (GUESSS), the study involves a sample of 2179 student entrepreneurs from 26 countries. Our findings indicate that university entrepreneurship-related offerings such as curricular programming, co-curricular activities, and financial support play a differentiating role in the proclivity towards causal or effectual approaches across the groups of experienced and inexperienced student entrepreneurs. We also provide evidence that effectuation and causation are not mutually exclusive constructs: they are intertwined and can unfold simultaneously.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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