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Record W2775444830 · doi:10.1017/cbo9780511977046.008

Institutional Economics at Columbia University

2011· book-chapter· en· W2775444830 on OpenAlexaff
Malcolm Rutherford

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsColumbia universityPolitical scienceEconomicsSociologyMedia studies

Abstract

fetched live from OpenAlex

Apart from Wisconsin, the leading center for institutional economics between the wars was Columbia University. In general intellectual terms, Columbia at least equaled Chicago and Harvard, and New York was the preeminent center of American intellectual life. Moreover, in terms of the numbers of doctoral students in economics, Columbia was the leader, and by quite a margin (Froman 1942). Between 1913 and the early 1930s, Columbia became the academic home of a particularly large concentration of economists of institutionalist leaning. These included Wesley Mitchell, J. M. Clark, F. C. Mills, Paul Brissenden, James Bonbright, Robert Hale, Joseph Dorfman, Carter Goodrich, Rexford Tugwell, Gardiner Means, Leo Wolman, Horace Taylor, A. F. Burns, and, later on, Karl Polanyi. A. R. Burns and Eveline Burns should also be included as being, at the least, sympathetic to institutionalist ideas. Furthermore, over the period in question, the Department of Economics was a graduate department offering degrees within the Faculty of Political Science. The Faculty also contained the graduate departments of Sociology, History, and Public Law. The Law School contained a large contingent of members of the realist school, including, at various times, W. W. Cook, Karl Llewellyn, Underhill Moore, and Herman Oliphant. A. A. Berle was also a member of the Department of Public Law and the Law School. Robert Hale moved from Economics to the Law School, and Gardiner Means was a member of the economic research staff of the Law School between 1927 and 1933, and was an associate in law from 1933 to 1935.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.038
GPT teacher head0.157
Teacher spread0.118 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2011
Admission routes1
Has abstractyes

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