ROLE OF MICROFINANCE, WOMEN DECISION MAKING AND PREVIOUS WORK EXPERIENCE IN WOMEN ENTREPRENEURSHIP DURING COVID-19
Bibliographic record
Abstract
In the recent decade, the spread of COVID-19 has shown significant negative effect on the entrepreneurship activities. Particularly, it destroyed the income generating activities of poor people. Most importantly, the women entrepreneurship activities are disturbed badly which causes to increase the poverty level among women. COVID-19 restrictions limit the women entrepreneurship activities in Telangana state of India. It leads towards the vulnerable condition of women living in Telangana. Therefore, the current study proposed a framework to deal with this issue. This study proposed that; microfinance has the potential to promote women entrepreneurship activities during COVID-19. Microfinance services has vital role to enhance women entrepreneurship activities through various services which may lead to reduce the negative effect of COVID-19. Based on Mayoux's Feminist Empowerment Theory, the current study proposed that; credit, saving and insurance from microfinance institutions can promote women entrepreneurship practices through women decision making. In addition to this, the current study proposed that; previous entrepreneurial experience also has moderating role to strengthen the positive relationship between women decision making and women entrepreneurship.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".