The Southern Culture of Risk Capital: The Path Dependence of Entrepreneurial Finance
Bibliographic record
Abstract
El sur de los EE.UU. ha experimentado un crecimiento notable en materia de empleos en el último cuarto de siglo, sin embargo algunos de estos puestos de trabajo fueron creados endógenamente. Si bien la estrategia principal de desarrollo económico en la región ha sido el depender de plantas subsidiarias para que incentiven la economía local, los esfuerzos recientes se han desplazado a la promoción empresarial a través de los incentivos que ofrece un distrito industrial (por ejemplo, el Research Triangle Park de Carolina del Norte). A pesar de estos esfuerzos, las tasas de iniciativa empresarial siguen siendo bajas en todo el sur de los EE.UU. Esta investigación identifica los elementos dominantes de la cultura regional que contribuyen a esta debilidad empresarial en el Research Triangle Park de Carolina del Norte. Una serie de entrevistas con inversionistas regionales de riesgo se llevaron a cabo para identificar el papel de la cultura en su industria. La importancia de la cultura regional en este tipo de financiación empresarial se identifica a través de comparaciones inter-regionales y encuestas a empresarios. Finalmente, los efectos iterativos de la cultura del sur se trazan a través de las 4 fases de la financiación empresarial.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".