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Record W2480795478 · doi:10.1016/s0743-4154(03)22049-6

HETERODOX ECONOMICS AT THE UNIVERSITY OF MANITOBA

2004· book-chapter· en· W2480795478 on OpenAlexaboutno aff
Fletcher Baragar

Bibliographic record

VenueResearch in the history of economic thought and methodology · 2004
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsDisciplinePoliticsSchools of economic thoughtPolitical scienceCurriculumAgricultureSocial sciencePolitical economySociologyEconomicsGeographyLawNeoclassical economicsArchaeology

Abstract

fetched live from OpenAlex

The emergence and maturation of the social sciences is an important component of the expansion of institutions of higher learning in the 20th century. The discipline of Political Economy, increasingly institutionalized in various Canadian universities in the early decades of the century, secured a Chair at the University of Manitoba in 1909. After 1914, its title became “Political Economy and Political Science” and the department subsequently served “as the great mother department to which were attached newer social science disciplines until it was deemed appropriate to let them launch out on their own” (Pentland, 1977, p. 3). Political Science became independent in 1948, Geography in 1951, and Sociology and Anthropology in 1962 (p. 4). Agricultural Economics, which was taught in the Manitoba Agricultural College, became its own department when the college joined the university in 1924. In the 1930s, Agricultural Economics was absorbed into Department of Political Economy. However, according to Pentland (pp. 4–5) it was not until the late 1940s that agricultural economics became a significant “sub-department.” It subsequently separated itself from Political Economy and, in 1954, became an independent department in the Faculty of Agriculture (p. 5). The result of these disciplinary developments was that the faculty of the Department of Political Economy had, from time to time, members whose expertise lay outside the increasingly well-defined terrain of economics. Despite this, however, they did not seem to have any long-lasting direct impact on shaping and defining the curricula in Economics. Since these other disciplines left and became independent when they had reached a certain size or degree of influence, Economics was left to define and pursue its own agenda unencumbered by the needs of these former associates.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.566
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.388
GPT teacher head0.328
Teacher spread0.060 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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