Growth-oriented women entrepreneurs and their businesses: a global research perspective
Bibliographic record
Abstract
Contents: PART I: COUNTRY REPORTS ON WOMEN'S ENTREPRENEURSHIP 1. Introduction: The Diana Project International Candida G. Brush, Nancy M. Carter, Elizabeth J. Gatewood, Patricia G. Greene and Myra M. Hart 2. Women's Entrepreneurship in Australia: Present and Their Future Mary Barrett 3. Women's Entrepreneurship in Canada: Progress, Puzzles and Priorities Jennifer E. Jennings and Michelle Provorny Cash 4. State of the Art of Women's Entrepreneurship, Access to Financing and Financing Strategies in Denmark Helle Neergaard, Kent T. Nielsen and John I. Kjeldsen 5. Women's Entrepreneurship in Finland Anne Kovalainen and Pia Arenius 6. Women's Entrepreneurship in Germany: Progress in a Still Traditional Environment Friederike Welter 7. Women's Entrepreneurship in Norway: Recent Trends and Future Challenges Lene Foss and Elisabet Ljunggren 8. Women's Entrepreneurship in the United States Candida G. Brush, Nancy M. Carter, Elizabeth J. Gatewood, Patricia G. Greene and Myra M. Hart PART II: RESEARCH TOPICS ON THE GROWTH OF WOMEN-OWNED BUSINESSES 9. Comparing the Growth and External Funding of Male- and Female-controlled SMEs in Australia John Watson, Rick Newby and Ann Mahuka 10. Builders and Leaders: Six Case Studies of Men and Women Small Proprietors in the Bulgarian Construction Industry Tatiana S. Manolova 11. Access to Finance for Women Entrepreneurs in Ireland: A Supply-Side Perspective Colette Henry, Kate Johnston and Angela Hamouda 12. Women Entrepreneurs in New Zealand: Private Capital Perspectives Anne de Bruin and Susan Flint-Hartle 13. The Supply of Finance of Women-led Ventures: The Northern Ireland Experience Claire M. Leitch, Frances Hill and Richard T. Harrison 14. Female Entrepreneurial Growth Aspirations in Slovenia: An Unexploited Resource Polona Tominc and Miroslav Rebernik 15. Spain - The Gender Gap in Small Firms' Resources and Performance: Still a Reality? Cristina Diaz and Juan J. Jimenez 16. Gender, Entrepreneurship and Business Finance: Investigating the Relationship between Banks and Entrepreneurs in the UK Sara Carter, Eleanor Shaw, Fiona Wilson and Wing Lam Index
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".