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Record W2100148837 · doi:10.1080/10427710050122521

Understanding Institutional Economics: 1918–1929

2000· article· en· W2100148837 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the History of Economic Thought · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVeblen goodInstitutionalismCommonsDissentPositive economicsSociologyInstitutional economicsSet (abstract data type)New institutionalismEconomicsNeoclassical economicsEpistemologyPolitical scienceLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

All attempts to define American institutionalism, whether in terms of a set of key methodological or theoretical principles or in terms of the contributions of the three generally accepted “founding” figures of Thorstein Veblen, Wesley Mitchell, and John R. Commons, have run into a problem with the apparent disparities within the movement. In terms of the three “founders” there are obvious and quite dramatic differences between the methodologies and theoretical directions of the three men. Veblen is associated with an evolutionary approach, a key distinction between pecuniary institutions and technological or industrial requirements, and a biting critique of orthodox theory and business practices; Mitchell with quantitative methods and detailed research on business cycles, an approach he established at the National Bureau of Economic Research (NBER); Commons with documentary histories, work on labor issues and public utility regulation, and an analytical scheme emphasizing the evolution of legal institutions and processes of dispute resolution. The same problem shows up with more explicit types of definition that often seem to capture only some parts or aspects of the movement and not others, or are so broad as to lack much specific content. Institutionalism easily appears as incoherent, as little more than a set of individual research programs with nothing in common other than a questioning of more orthodox theory and method. Thus, Mark Blaug has stated that institutionalism “was never more than a tenuous inclination to dissent from orthodox economics” (Blaug 1978, p. 712), and George Stigler has claimed that institutionalism had “no positive agenda of research,” “no set of problems or new methods,” nothing but “a stance of hostility to the standard theoretical tradition” (quoted in Kitch 1983, p. 170). This view still finds wide currency— for example Oliver Williamson has recently argued that “unable or unwilling to offer a rival research agenda, the older institutional economics was given over to methodological objections to orthodoxy” (Williamson 1998b, p. 24; see also 1998a).

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.093
GPT teacher head0.214
Teacher spread0.121 · 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