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Record W2043899270 · doi:10.1017/s1053837212000016

C.E. FERGUSON’S LOST REPLY TO JOAN ROBINSON ON THE THEORY OF CAPITAL

2012· article· en· W2043899270 on OpenAlexaboutno aff
Scott L. Carter

Bibliographic record

VenueJournal of the History of Economic Thought · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCapital (architecture)Economic historyPositive economicsEconomicsNeoclassical economicsSociologyHistory

Abstract

fetched live from OpenAlex

In 1971, Joan Robinson entered into a debate with the American neoclassical economist C.E. Ferguson in the Canadian Journal of Economics over the efficacy of the neoclassical theory of capital in light of the Cambridge Controversies raging at the time. Recent archival evidence from the Martin Bronfenbrenner Papers at Duke Archive has uncovered a heretofore lost reply Ferguson wrote to Robinson on or around September 1971, three months before his death. That reply is published for the first time as an Appendix to this article. Uncovering this reply, as well as correspondence between Ferguson, Bronfenbrenner, and Solow, shines a light into the American neoclassical camp of the late 1960s and early 1970s as the early phase in the Cambridge Controversies was drawing to a close.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.010
Scholarly communication0.0060.008
Open science0.0020.002
Research integrity0.0190.028
Insufficient payload (model declined to judge)0.0040.003

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 head0.036
GPT teacher head0.219
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

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