Bibliographic record
Abstract
Introduction: a history of the global economy - the 'why' and the 'how' Joerg Baten 1. North-Western Europe Jan Luiten van Zanden Interlinking chapter 1. The great divergence in the world economy: long-run trends of real income Stephen Broadberry Highlight article 1.1 International financial regulation and supervision Catherine Schenk 2. Southern, Eastern and Central Europe Joerg Baten Interlinking chapter 2. The Sputnik shock, the Pisa shock: human capital as a global growth determinant Joerg Baten Highlight article 2.1 State finances during civil wars Pablo Martin Acena Highlight article 2.2 Property rights in the Russian Empire Irina Potkina 3. The United States and Canada Price Fishback Interlinking chapter 3. The Great Depression of the 1930s and the world economic crisis after 2008 Kevin Hjortshoj O'Rourke Highlight article 3.1 Multi-divisional firms and managerial capitalism Franco Amatori Highlight article 3.2 Business history and innovation Knut Sogner Highlight article 3.3 Alfred D. Chandler, Jr: the man behind modern business history Franco Amatori 4. Latin America Luis Bertola and Jose Ocampo Interlinking chapter 4. Was there a 'curse of natural resources'? Joerg Baten Highlight article 4.1 Latin America, 1500-1800: early contact, epidemics and numeracy development Joerg Baten Highlight article 4.2 The economic consequences of independence in Latin America Salomon Kalmanovitz 5. Japan's long-run growth process in a Eurasian perspective Osamu Saito Highlight article 5.1 Japanese industry during WWII Tetsuji Okazaki 6. China Debin Ma Highlight article 6.1 International expositions and East Asia's participation in the modern era Min Ma Interlinking chapter 5/6. Trade and poverty, 1820-1913: when the Third World fell behind Jeffrey Williamson 7. Middle East, North Africa and Central Asia Rima Ghanem and Joerg Baten Interlinking chapter 7. Women in global economic history Sarah Carmichael, Selin Dilli and Auke Rijpma Highlight article 7.1 The imperial expansion of the Ottoman Empire and its cultural determinants Rima Ghanem and Joerg Baten 8. The economic history of South Asia: a survey of quantitative research Tirthankar Roy Interlinking chapter 8. Human stature as a health indicator in colonial empires Joerg Baten and Kris Inwood Highlight article 8.1 Did brain-drain from India cause underdevelopment? Numeracy of Indian migrants and the Indian population, seventeenth to twentieth century Joerg Baten 9. Southeast Asia and Australia/New Zealand Martin Shanahan Highlight article 9.1 Pre-history, ancient and classical periods of Southeast Asia Martin Shanahan Interlinking chapter 9. Institutional development in world economic history Joerg Baten 10. Sub-saharan Africa Gareth Austin Highlight article 10.1 Why was Ethiopia not colonized during the late-nineteenth-century 'Scramble for Africa'? Marjolein't Hart Conclusion Joerg Baten Index.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".