The Politics of Financial Development: A Review of Calomiris and Haber's <i>Fragile by Design</i>
Bibliographic record
Abstract
Fragile by Design by Charles W. Calomiris and Stephen H. Haber introduces a framework for understanding financial crises and credit abundance with politics at its center. Using the historical experiences of five nations to illustrate, the authors propose that democracies such as the United States and Canada can have stable banks and ample credit so long as populist forces do not dominate the policy agenda, and that strong autocratic states such as Mexico can also achieve stability at the cost of restricting credit. Weak autocracies, such as Brazil over much of its history, often require inflationary finance and suffer from the banking fragility that comes with it. The authors identify populist ideologies and related policy decisions (such as unit banking, deposit insurance, and the Community Reinvestment Act) as underlying causes of banking instability in the United States as typified by the recent subprime crisis. Canada, in contrast, by holding populist forces in check through calculated political choices, remains crisis-free. (JEL D72, E44, G01, G21, N20, O16, O17)
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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) | 0.000 | 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".