MétaCan
Menu
Back to cohort
Record W2800265607 · doi:10.1111/jcms.12714

The Rise of Regional Influence in the EU – From Soft Policy Lobbying to Hard Vetoing

2018· article· en· W2800265607 on OpenAlexaboutno aff
Michaël Tatham

Bibliographic record

VenueJCMS Journal of Common Market Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentRestructuringPoliticsPolitical sciencePosition (finance)State (computer science)Public administrationRelevance (law)Member statesPolitical economyInternational tradeEuropean unionLawBusinessSociology

Abstract

fetched live from OpenAlex

Abstract Initially unfolding in parallel ways, the Europeanization and the regionalization of politics have increasingly intersected. Regional authorities have organized themselves to affect policy developments at the supranational level. They do so through the internal restructuring of their administrations, by carrying lobbying activities directly in Brussels, but also by institutionalizing and sometimes constitutionalizing their authority over their Member State's EU position. In other words, both their informal and formal influence over EU affairs has grown. The relevance of these trends is illustrated by recent events such as the Wallonia parliament holding up the EU–Canada trade deal. This case highlights how the nature of both subnational and supranational politics has changed over time. International trade deals used to be considered as ‘high politics’, remote from the immediate concerns of regional bodies and well beyond their formal reach. The Wallonia case illustrates this is no longer so.

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)0.008
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0090.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.386
Teacher spread0.324 · 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
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

Citations84
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJCMS Journal of Common Market StudiesSame topicEuropean Union Policy and GovernanceFrench-language works237,207