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Record W4211003315 · doi:10.1017/9781108781015.001

Introduction

2020· book-chapter· en· W4211003315 on OpenAlexaff
Stefan Renckens

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCorporate governanceCertificationArgument (complex analysis)Public administrationBusinessEuropean unionSustainabilityLaw and economicsAccountingPublic goodPolitical sciencePublic economicsEconomicsLawEconomic policyFinance

Abstract

fetched live from OpenAlex

Under which conditions will a public authority intervene in private governance such as certification and eco-labeling schemes for sustainably produced goods? This chapter introduces this research question by presenting the empirical puzzle the book addresses: Why has the European Union (EU) intervened in private governance that deals with organic agriculture and biofuels, but has not intervened in private governance dealing with fair trade and fisheries? The chapter distinguishes between a public authority intervening with standards regulation that involves creating a public definition of sustainable production, and with procedural regulation that addresses the way private governance schemes are organized. The argument the book develops is that whether a public authority intervenes with standards and/or procedural regulation depends on the interplay of two variables: the domestic benefits of product differentiation by a public authority and the fragmentation of the private governance market. The chapter situates the book in the current state of the literature on the interactions between public and private governance and explains the research design and research contributions.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.413
Threshold uncertainty score0.837

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4130.257

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 head0.021
GPT teacher head0.197
Teacher spread0.176 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicGlobal trade, sustainability, and social impact→French-language works237,207→