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Record W4412256905

Regulating for a sustainable and resilient single market:Challenges and reforms in the areas of state aid, competition, and public procurement

2023· report· en· W4412256905 on OpenAlexaff
Marta Andhov, Andrea Biondi, Luca Rubini

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2023
Typereport
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsProcurementCompetition (biology)State (computer science)BusinessIndustrial organizationEconomic systemMarket economyEnvironmental economicsNatural resource economicsEconomicsMarketingComputer science
DOInot available

Abstract

fetched live from OpenAlex

The single market currently sits at the centre of the European economic integration project and plays a key role in the EU processes of political and social integration.This centrality would have been purely totemic had it not been for the inherent success and resilience of the European integration project. Over the past 30 years, the single market has survived several crises largely unscathed: economic ones (including various recessions and austerity-driven downturns), political ones (Brexit comes immediately to mind) and, more recently, a pandemic and a violent armed conflict virtually on its doorstep. While undoubtedly still a ‘project’, and far from being fully accomplished let alone finalised, the single market has consolidated its role as the central Weltanschauung of the European Union.<br/><br/>For the most part, the picture that the authors, law professors Marta Andhov, Andrea Biondi and Luca Rubini, have painted for us is one of progressive incrementalism in the EU’s efforts to bolster the contribution that the single market rules covered by their analysis make to the ecological, social and industrial sustainability dimensions of the European project.<br/><br/>Readers of this report, and of the three papers produced by our experts, will undoubtedly feel enriched by the sophisticated and detailed analysis of the – often untapped – potential offered by these recent, ongoing reforms. Reforms that, as the authors point out, are carefully balancing both the social and the competitiveness rationales sustaining the Treaty formula for a ‘highly competitive social market economy’.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0090.017
Scholarly communication0.0280.016
Open science0.0030.008
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.126
GPT teacher head0.297
Teacher spread0.171 · 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 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
Published2023
Admission routes1
Has abstractyes

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Same venueResearch at the University of Copenhagen (University of Copenhagen)Same topicPublic Procurement and PolicyFrench-language works237,207