The Role of Social and Human Capital Among Nascent Entrepreneurs
Why this work is in the frame
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Bibliographic record
Abstract
In considering the propensity of individuals towardentrepreneurship, the common trait approach is unsatisfactory becauseit suffers from self-selection bias or the oversampling of highly successfulfirms. In this study, 452 nascent entrepreneurs from the general Swedish populationwere interviewed in May-September 1998 focusing on 22 behaviors thatdemonstrate actively beginning the business creation process. The sociologicalcharacteristics of the nascent entrepreneurs and the comparative importance oftheir personal networks and business education are investigated. The results demonstrate the importance of social capital at both the familyand individual levels. Having parents in business, friends in business, andencouragement from friends and family are strongly associated with nascentactivity. Identifying oneself in an established business network issignificant. The results only weakly support the role of formal education inpredicting nascent entrepreneurship or comparative success. The public policyimplications of these results for encouraging entrepreneurial social capitalare also discussed. (TNM)
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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 | 0.000 | 0.000 |
| 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