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Record W4417211837 · doi:10.1080/1350178x.2025.2599110

Pluralism meets diversity in the philosophy of economics

2025· article· en· W4417211837 on OpenAlexaff
Sheila Dow

Bibliographic record

VenueJournal of Economic Methodology · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPluralism (philosophy)Diversity (politics)Philosophy and economicsEconomic methodologyMoral philosophy

Abstract

fetched live from OpenAlex

This paper reviews the conceptualisation and analysis of pluralism and diversity in the philosophy of economics and economic methodology in order to clarify the different meanings employed. The aim is to address ambiguities in and between the relevant literatures and to identify lacunae which offer opportunities for further research. The different meanings of pluralism and diversity are explored in terms of the different domains to which they are applied and the different presuppositions and values of each community. A focus is put on ‘schools-of-thought pluralism’, ‘mainstream pluralism’ and social diversity; feminist economics is considered as a case study. Scope is identified for the specialist philosophy of economics to expand its understanding of pluralism and diversity, encompassing heterodox schools of thought and the role of non-epistemological values with respect to diversity. There is also scope for seeking further synergy between pluralist analysis and diversity analysis.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.044
Scholarly communication0.0070.011
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0010.000

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 head0.254
GPT teacher head0.327
Teacher spread0.073 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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