Bibliographic record
Abstract
Contents: PART I: NORTH AMERICA 1. Global Financial Crises Benton E. Gup 2. Spillover Effects from the US Financial Crises: Some Time-Series Evidence from National Stock Returns Apanard Penny Angkinand, James R. Barth, and Hyeongwoo Kim 3. Canadian Banks and the North American Housing Crisis James A. Brox PART II: EUROPE 4. The German Banking System and the Financial Crisis Horst Gischer and Peter Reichling 5. No Free Lunch-No Decoupling, The Crisis in Hungary: A Case Study Julia Kiraly and Katalin Mer PART III: ASIA AND AUSTRALIA 6. An Analysis of the Ripple Effects of the Global Financial Crises on the Korean Economy and the Recovery Jungeun Kim, Kyeong Pyo Ryu, and Doowoo Nam 7. Propagation of the US Housing Market Crisis into Asia: Impacts and Depths Masanori Amano and Hikari Ishido 8. How Australia Survived the Global Financial Crisis Chris Bajada and Rowan Trayler PART IV: INTERNATIONAL REGULATORY ISSUES 9. A Single Financial Market and Multiple Safety Net Regulators: The Case of the European Union Maria J. Nieto 10. The Global Financial Crisis: Back to Basics, Bank Supervision in Developing Countries Thomas Lutton and Joseph Cauthen 11. Hedge Funds and Offshore Financial Centers: New Challenges for the Regulation of Systemic Risks Navin Beekarry
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".