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Record W2166961699

UNITED STATES AND CANADA U.S. Bank Deregulation in Historical Perspective . By Charles W. Calomiris. Cambridge: Cambridge University Press, 2000. Pp. xxxii, 359. $54.95.

2001· article· en· W2166961699 on OpenAlexaboutno aff
Richard Sylla

Bibliographic record

VenueThe Journal of Economic History · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)DeregulationEconomic historyPolitical scienceRegional scienceEconomicsSociologyArtMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Deregulation of banking in the United States during the past two decades is beginning to make American banking resemble that of other advanced countries. Banks are now free to operate nationwide branch systems, to combine commercial banking with investment banking and securities brokerage, and to offer insurance and other products previously restricted or prohibited. A generation ago banks could do none of these things. In this meaty collection of six essays (three with co-authors) previously published in different places during the 1990s, Charles Calomiris asks and provides answers to a number of questions concerning U.S. banking history and bank regulation. How and why did American banking become so uniquely different from banking in other countries? Why was the U.S. banking system more prone than those of other countries to banking panics and other types of financial disturbance? What were the effects of these differences on financial and economic efficiency? Why did a banking system so greatly regulated for more than a century by state and federal authorities become so greatly deregulated at the end of the twentieth century? Will there be still more deregulation as a new century begins? In the years ahead, how competitive will U.S. banks be in the increasingly global financial markets?

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.183
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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