To profit or not to profit: Women entrepreneurs in India
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Entrepreneurial activity attracts certain kinds of individuals, whether it is to promote a social cause in the nonprofit sector or profit in the for‐profit sector. This article looks at the behavior of women entrepreneurs in India in both the for‐profit and nonprofit sectors to test for potential differences and similarities. We chose two groups of entrepreneurial women who founded and led relatively similar‐size organizations in the same city and who provided services primarily to women and children. Our findings show that while all nonprofit entrepreneurs receive a high payoff from promoting social causes, there is no single unifying payoff for for‐profit entrepreneurs. Family background and support, however, play an important role for both sets of entrepreneurs. We find that experience in the sector, social class, caste, and education in?uence entrepreneurial behavior and that this in?uence differs by sector.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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