Entrepreneurial Ingenuity, Social Impact, and Civic Wealth Creation
Bibliographic record
Abstract
We examine how people perceive the influence of entrepreneurial ingenuity on their ability to pursue economic, social, and environmental impact. Entrepreneurial ingenuity emphasizes the ability to use imaginative problem solving to create innovative new ventures and value within constraints while voluntarily adopting social and environmental responsibility. By collaborating with public high schools that provide entrepreneurship education to youth in resource-constrained communities, we trained high schoolers’ mothers in entrepreneurial ingenuity. Using a qualitative approach guided by grounded theory, we analyzed interviews with these entrepreneurial women. We find that entrepreneurial ingenuity training tends to help people (1) envision an improved view of their abilities as an entrepreneur, (2) recognize their role in social responsibility and environmental sustainability in a community, and (3) identify inter-generational entrepreneurship and impact actions. Our findings suggest that entrepreneurial ingenuity can help foster civic wealth creation, connecting the entrepreneurial ingenuity and civic wealth creation perspectives.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".