The ECJ, Volkswagen and European Corporate Law: Reshaping the European Varieties of Capitalism
Bibliographic record
Abstract
On its website “The EU Single Market – Fewer barriers, more opportunities”, the European Commission lists the judgments by the European Court of Justice [ECJ] dealing with the free movement of capital under Art 56 EC Treaty (ex 73b). The latest update of this list is the Court'sVolkswagendecision of 23 October 2007 (Case C-112/2005), which the Commission had launched against the Federal Republic of Germany on 4 March 2005. This suit, brought under Art. 226 EC Treaty, had been long coming. That the Volkswagen statute, which effectively gave the Federal government and theLand(federal state) ofNiedersachsen(Lower Saxony) a veto against majority acquisition while only holding a fifth of all shares, would come into the Commission's purview, could hardly surprise, given the Commission's activity with regard to such ‘golden share’ provisions under Portuguese, French, Belgian and English company laws. The most recent decision of the ECJ in the case of Volkswagen is of interest in more than one respect. Not only does it constitute a continuation and further accentuation of a line of argument that the Court has been unfolding over past few years with regard to the Member State provisions in conflict with the EC's guarantee of the free movement of capital as laid down in Art. 56 EC.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.012 | 0.007 |
| 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".