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Record W4298240765 · doi:10.46298/jpe.10564

Classifying Heterodoxy

2008· article· en· W4298240765 on OpenAlex
Rick Szostak

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

Venue˜The œJournal of Philosophical Economics · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHeterodoxyHeterodox economicsScholarshipPositive economicsDisciplineEconomicsEpistemologyMainstream economicsNeoclassical economicsStrengths and weaknessesSociologyOrthodoxyApplied economicsSocial science

Abstract

fetched live from OpenAlex

This paper draws upon the scholarship of interdisciplinarity to argue that Economics, like all disciplines, should be open to a wide range of theories and methods, and the study of all relevant phenomena. A classification of the different methods and theory types used by scholars identifies key strengths and weaknesses of each. Different schools of heterodox [that is, non-neoclassical] economics, as well as neoclassical economics itself, emphasize different sets of theory and method. Each thus has a unique contribution to make to a holistic understanding of the economy. At present, different heterodox schools, like neoclassical economics itself, tend to act as if it were thought that their theory and method were superior. This paper urges a quite different attitude: different heterodox schools, as well as neoclassical economics, should be seen as complements rather than substitutes. That is, the insights of different schools of thought within Economics can and should be integrated just as disciplinary insights are integrated within interdisciplinary scholarship. The classification also identifies valuable theory types not presently embraced by any heterodox approach. Heterodoxy needs also to embrace the causal linkages between economic and diverse non-economic phenomena; the paper outlines a strategy for organizing the complex understandings that emerge from such a project. Some might recoil at the complexity of an academic enterprise that embraces such a wide range of phenomena, theory, and method; this paper shows how these diverse investigations can be organized in terms of the classifications presented such that all economists could readily appreciate the contributions of others. The paper also makes suggestions regarding the daily practice of heterodox economists, and draws lessons for heterodoxy from interdisciplinary research practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.848

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.229
Teacher spread0.151 · 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