Europe's Democratic Deficits through the Looking Glass: The European Union as a Challenge for Democracy
Bibliographic record
Abstract
Despite widespread disagreement about democratic deficits in the European Union (EU), most critics begin by conceiving democracy as a problem for the EU. Seeing the EU as undemocratic or insufficiently democratic, they devise institutional innovations to democratize it. These innovations seem to require breaking the traditional link between democracy and the nation-state, which in this context appears outmoded or inappropriate. This article challenges that approach, arguing that it gets the relationship between democracy and the sovereign state wrong—or at least, incomplete—by stressing modern democratic theory's empirical ties to the state while underestimating their normative significance. The complex interdependence of normative and empirical assumptions informing modern democratic theory means that detaching democracy from the state is much less straightforward than critics often imagine. The essay argues instead for conceiving the EU as a problem for democratic theory. Doing so reveals that democratic theory is ill-equipped to address recent changes in the configuration of rule and new structures of governance associated with Europeanization, European integration, and globalization more broadly. This change in perspective highlights important limits in recent democratic theorizing about the EU and clarifies the role of European debates in reinterpreting and reconstructing democracy in the age of globalization.Michael Goodhart is Associate Professor of Political Science at the University of Pittsburgh, where he holds a secondary appointment in Women's Studies (goodhart@pitt.edu). He is grateful to Chris Bonneau, Mark Hallerberg, Andrew Lotz, John Markoff, Guy Peters, Alberta Sbragia, Dan Thomas, and to anonymous reviewers of this essay for their kind help and advice. He is also grateful to the European Union Center of Excellence at the University of Pittsburgh for the chance to present an earlier version of this essay and appreciates the suggestions he received at that time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".