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Record W4399714617 · doi:10.31235/osf.io/rakbx

The Economics of JEM: Evidence for Estrangement

2024· preprint· en· W4399714617 on OpenAlexaff
François Claveau, Jacob Hamel-Mottiez, Alexandre Truc, Conrad Heilmann

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicInnovation, Sustainability, Human-Machine Systems
Canadian institutionsUniversité LavalUniversité de Sherbrooke
Fundersnot available
KeywordsPhilosophy and economicsCitationEconomic methodologyDiversity (politics)Applied economicsEconomicsPositive economicsHeterodox economicsEconomic analysisSocial scienceMainstream economicsPolitical scienceSociologyClassical economicsLaw

Abstract

fetched live from OpenAlex

We present bibliometric evidence for increasing estrangement between the philosophy of economics and economics itself. Our analysis centers on research articles published in the Journal of Economic Methodology (JEM) between 1994 and 2021. We analyze the citations within these research articles, in particular with respect to the citations of economics. Our results are fourfold. (1) The share of economic citations in JEM articles has been decreasing. (2) The remaining economic citations in JEM articles are increasingly older relative to citation patterns within economics. (3) The profile of economic citations in JEM articles is increasingly dissimilar when compared to what is cited within economics. (4) There is decreasing diversity with regards to the share of attention towards different economic subfields in the articles published in JEM when compared to economics. We discuss interpretations of this evidence for estrangement between philosophy of economics and economics.

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)0.013
metaresearch head score (Gemma)0.153
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.153
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0270.040
Science and technology studies0.0010.006
Scholarly communication0.0070.007
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.131
GPT teacher head0.441
Teacher spread0.310 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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