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Record W3178392254 · doi:10.1177/10245294211029790

Conceptualizing contemporary markets: Introduction to the special issue

2021· article· en· W3178392254 on OpenAlexafffund
Julian Gruin, Pascale Massot

Bibliographic record

VenueCompetition & Change · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsEmbeddednessMainstreamPoliticsEconomicsNonmarket forcesEconomic systemPositive economicsPolitical economySociologyNeoclassical economicsPolitical scienceMarket economySocial scienceFactor marketLaw

Abstract

fetched live from OpenAlex

Contemporary markets are evolving in numerous ways that affect their structure, dynamics and consequences. Yet while the concept of the market is central to comparative, international and global political economy, there exists no concerted body of literature dedicated to debating and articulating different conceptions of the market and that critically self-reflects on how these empirical transformations are intersecting with the central theoretical concerns of political economy: power, contestation and change. This special issue enriches the debate by looking to decentre the concept of the market from its traditional home in mainstream neoclassical/liberal political economy. Western-centric conceptualizations of the market based on a minimal atomistic classical definition have dominated international economic discourses but it is becoming increasingly clear that different understandings of markets and the functions they serve are crystalizing between market stakeholders at the global level. This special issue addresses these concerns via the historicization of the concept of the market, the development and refinement of the concept of the market, as well as the decentring of the concept of the market via empirical studies of global market change informed by an awareness of the political, economic, social and cultural embeddedness of markets. In so doing, the special issue leverages the insights of global political economy and cognate disciplines to achieve richer insights into the analytical potential of the concept of the market.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.008
Scholarly communication0.0100.013
Open science0.0020.003
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0180.004

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 head0.098
GPT teacher head0.295
Teacher spread0.197 · 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
GenreEditorial

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
Published2021
Admission routes2
Has abstractyes

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