The Role of Social and Human Capital Among Nascent Entrepreneurs
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".