Bibliographic record
Abstract
How differences in national financial regulatory systems emerged from divergent beliefs about economic order and prosperity The global financial crisis of the late 2000s was marked by the failure of regulators to rein in risk-taking by banks. And yet regulatory issues varied from country to country, with some national financial regulatory systems proving more effective than others. In Visions of Financial Order , Kim Pernell traces the emergence of important national differences in financial regulation in the decades leading up to the crisis. To do so, she examines the cases of the United States, Canada, and Spain—three countries that subscribed to the same transnational regulatory framework (the Basel Capital Accord) but developed different regulatory policies in areas that would directly affect bank performance during the financial crisis. In a broad historical analysis that extends from the rise of the first modern chartered banks in the 1780s through the major financial crises of the twentieth century and the Basel Capital Accord of 1988, Pernell shows how the different (and sometimes competing) principles of order embedded in each country’s regulatory and political institutions gave rise to distinctive visions of order and prosperity, which shaped subsequent financial regulatory design. Pernell argues that the different worldviews of national banking regulators reflected cultural beliefs about the ideal way to organize economic life to promote order, stability, and prosperity . Visions of Financial Order offers an innovative perspective on the persistent differences between regulatory institutions and the ways they shaped the unfolding of the 2008 global financial crisis.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".