Bibliographic record
Abstract
Contents: Foreword, Professor Alistair R. Anderson Introduction, Professor Leo-Paul Dana PART I: OLD VALUES 1. Religious Merchants? Edwina Pio 2. Promethian Values in New Mexico, Leo-Paul Dana and Robert B. Anderson 3. Mizrahi Entrepreneurship Networks, Leo-Paul Dana PART II: CHRISTIAN COMMUNITIES 4. Greek Christian Orthodoxy and Entrepreneurship, Dimitri Tassiopoulos 5. Economics in the Strategy of the Franciscan California Missions 6. The Religious Ethic of the Protestant Ethnics, Ivan Light 7. The Effects of Methodism on Entrepreneurship, Anne White 8. The Hutterite Brethern, Robert L. Malach and Sandra Malach 9. Amish Entrepreneurship in the United States, Leo-Paul Dana 10. Mennonite Entrepreneurship in Belize, Carel Roessingh and K. Smits 11. Collective Entrepreneurship in a Mennonite Community in Paraguay, Leo-Paul Dana and Teresa E. Dana PART III: ISLAM 12. Islam and Entrepreneurship, Wafica Ali Ghoul 13. Xinjiang, Leo-Paul Dana 14. Muslim Entrepreneurs in France, Hadj Nekka and Alain Fayolle PART IV: MINORITIES IN A HOST SOCIETY 15. On Entrepreneurship Among Druze, Sibylle Heilbrunn 16. Home of Sephardi Middlemen, Leo-Paul Dana and Teresa E. Dana 17. Ashkenazi Middlemen in the Agricultural Sector in Europe, Leo-Paul Dana 18. The Jewish Sub-Economy of Montreal, Morton Weinfeld 19. Successful Hindu Entrepreneurship in the United Kingdom, Shiv Chaudhry and Dave Crick PART V: COMPARATIVE STUDIES 20. A Critical Investigation of the Protestant Ethic on a Divided Island, Godfrey Baldacchino and Leo-Paul Dana 21. Italian Catholics of Lancashire and the Jewish Community of Yorkshire, Claudio Vignali, Neil Robinson and Gianpaolo Vignali
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.010 |
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".