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Record W4399902245 · doi:10.54648/erpl2022043

Introduction: Online Marketplaces as Private Governance Systems and ‘Balloon Effects’ in Private Law

2022· article· en· W4399902245 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Review of Private Law/Revue européenne de droit privé/Europäische Zeitschrift für Privatrecht · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigitalization, Law, and Regulation
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsCorporate governanceConsumer protectionBusinessPrivate lawLaw and economicsCompliance (psychology)Order (exchange)Commercial lawPerspective (graphical)State (computer science)Private sectorProduct (mathematics)LawEconomicsPolitical sciencePublic lawFinance

Abstract

fetched live from OpenAlex

The introduction sets the scene for the Special Issue by describing how digital online market places through their contract based business models to a large extent in reality evade state regulation on e.g., consumer protection and labour law rights. They replace this regulation with their own private governance systems that regulate issues that are often of broad societal interest such as product safety, workers’ rights and issues of discrimination. Contrary to what one might expect, it is observed that these private governance systems often fully live up to consumer protection laws and sometimes even go further than state regulation in order to please the customers. It is observed that the downside of this is what could be called ‘balloon effects’ in other areas of the law. Thus, ‘over compliance’ with regard to consumer protection often leads to ‘under compliance’ in other areas of the law. In the introductory article, it is explained how all the contributions address such ‘balloon effects’ in a private law perspective.

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.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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