Understanding the 2007–2008 Global Financial Crisis: Lessons for Scholars of International Political Economy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Economists have explained the 2007–2008 global financial crisis with reference to various market and regulatory failures as well as a macro-economic environment of cheap credit during the precrisis period. These developments had important political causes that scholars of international political economy (IPE) should have been well positioned to study before the crisis. How well did they anticipate the crisis? Although none foresaw all the causes, a number of IPE scholars correctly identified many of the dangers associated with new models of securitization as well as accompanying regulatory failures and the politics underlying them. IPE scholars were less successful in identifying the macroeconomic roots of the crisis, particularly the role of international capital flows in fueling the U.S. financial bubble, but some scholars did usefully explore the politics that contributed to the latter phenomenon. The study of IPE scholarship in this episode contains useful lessons for the field's future.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it