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Record W3197999741 · doi:10.38024/arpe.157

Anatomy of Economic Activity There are Two Main Flows

2019· article· en· W3197999741 on OpenAlexaboutno aff
Terrance Quinn

Bibliographic record

VenueAmerican Review of Political Economy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsNeoclassical economicsMainstreamPluralism (philosophy)EconomicsPoliticsPositive economicsMainstream economicsSociologyEpistemologyPolitical sciencePhilosophyLawApplied economics

Abstract

fetched live from OpenAlex

I draw attention to an economic theory discovered in the 1930’s by the Canadian scholar Bernard Lonergan (1904-1984). At the time, Lonergan was unable to find an economist to read his manuscripts. Eventually, however, his results were published in For a New Political Economy (Lonergan 1998); and Macroeconomic Dynamics: An Essay in Circulation Analysis (Lonergan, 1999), volumes 21 and 15 of the Collected Works of Bernard Lonergan. Volume 21 contains almost all of Lonergan’s typewritten work on economics prior to and including the 1944 Essay in Circulation Analysis. Lonergan’s theory, however, remains largely unknown to both orthodox and heterodox economics. Within the contemporary ethos, economic models typically are remote from actual economic activities in cities, towns and people’s lives. Lonergan’s theory, by contrast, begins with economic activities. It builds on a key observation that there are not just “firms and households” but two functionally distinct types of firm. Businesses can and often do function in both ways, depending on transactions. Orthodox economics has been causing great damage to world cultures and ecosystems. Attempts to merely adjust mainstream models have proven ineffective. Within heterodox economics there has been a growing interest in finding a viable alternative. This paper gives a brief introduction to the alternative provided by Bernard Lonergan’s two-flow theory. It is a theory that will ground the possibility of effective and humane strategies for local and global economies. Elements of this paper were originally presented at the International Confederation of Associations for Pluralism in Economics (ICAPE), January 4th, 2018, Drexel University in Philadelphia.

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 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 score0.893
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.341
Teacher spread0.329 · 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
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

Citations1
Published2019
Admission routes1
Has abstractyes

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