EXPLORING THE NATURE AND IMPACT OF GESTATION-SPECIFIC HUMAN CAPITAL AMONG NASCENT ENTREPRENEURS
Why this work is in the frame
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Bibliographic record
Abstract
This article explores the nature and impact of gestation-specific human capital on successful start-up among a random sample of Canadian nascent entrepreneurs. Although much is known about the relationship between individual-level factors and the probability of becoming a nascent entrepreneur, the same cannot be said for the relationship between individual-level factors and success in starting a business. Previous studies of existing business founders indicate that general human capital (education and work experience) plays a role in opportunity identification, but at best plays a very weak role in opportunity pursuit. In light of these findings we sought to identify elements of human capital that would be specific to gestation–previous start-up experience, completion of classes or workshops in starting a business, and financial management capability (FMC). In documenting these elements, we found the majority of the sample had not taken any classes or workshops on starting a business, were novices to the start-up process, and were characterized by a wide range of financial management capability. Among those nascent entrepreneurs who succeeded in starting a business, FMC was found to be associated with sustainability. We conclude by discussing implications for researchers.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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