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Record W4402875755 · doi:10.1002/bse.3972

Decontesting an essentially contested concept: The standardization of sustainable finance

2024· article· en· W4402875755 on OpenAlexaff
Olivier Boiral, Marie‐Christine Brotherton, David Gilbert‐Parisée, David Talbot, Isabelle Martínez

Bibliographic record

VenueBusiness Strategy and the Environment · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversité Laval
Fundersnot available
KeywordsStandardizationBusinessEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract The aim of this article is to investigate how the standardization process and the public consultations carried out in the development of new sustainable finance standards and laws tend to shape the decontestation of practices in this field. The analysis of 255 comment letters submitted by various stakeholders in the context of these public consultations shows the dual role of standardization as a mechanism for both the decontestation and the (re)contestation of sustainable finance. This article makes important contributions to the emerging literature on the governance of sustainable finance through initiatives that are meant to improve the transparency of disclosures in this field and prevent investor misconduct. In light of Gallie's theory of essentially contested concepts, this article also contributes to the literature on the challenges of developing sustainability standards and the implications of adopting practices centered on concepts whose meanings and applications are the subject of endless disputes.

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 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 score0.592
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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.

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

Citations3
Published2024
Admission routes1
Has abstractyes

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