Bibliographic record
Abstract
Entrepreneurship among women has been a matter of recent concern in the country. The hidden entrepre- neurial potential of women has gradually been changing with the sensitivity to their role and economic status in the society. Women are increasingly being conscious of their existence, their rights, and work situation. However, New Industrial policy of 2009-14 and other schemes which are started post and recent are helping to the poor women and women entrepreneurs in the form of generation of employment, income and to improve their social status. Definitely, the socio-economic conditions of women entrepreneurs would improve, if these schemes, programmes and policies are implemented strictly both by the Centre and the State governments and it goes a long way for the growth and development of women, women entrepreneurs and the industrial sector of the Indian economy. Entrepreneurship among women has been a matter of recent concern in the country. The hidden entrepreneurial potential of women has gradually been changing with the sensitivity to their role and economic status in the society. Women are increas- ingly being conscious of their existence, their rights, and work situation. However, the position of women work participation as well as both is low in India in comparison to selected coun- ties of the world. Women work participation in India is 31.6 Per cent where as in USA it is 45 per cent, UK 43 Per cent, Canada 42 per cent, France 32 per cent, Indonesia 40 per cent Sri lanka and Brazil both 35 per cent. Table-1 refers women entrepre- neurship position in the selected states of India is 30 per cent on an average, but in Bihar it is only 15.04 per cent. Further, in India, men generally take the lead in the entrepreneurial world. With the change of time as well as cultural norms, and increase in literacy, women are increasingly ready to enter the field of entrepreneurship. Table-1, Women Entrepreneurship in India
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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 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".