Constitutionalising the Market, Marketising the Constitution, and to Tell the Difference: On the Horizontal Application of the Free Movement Provisions in EU Law
Bibliographic record
Abstract
Abstract Ever since the Court's judgment in Walrave, there has been a concerted effort in caselaw and doctrine to limit the horizontal direct effect of free movement provisions to exceptional circumstances. This article suggests that this effort has always been incoherent, and is simply untenable after Viking and Laval. The implications are far reaching, especially in the sphere of the free movement of capital and corporate governance where the Court is well on its way of imposing a model of shareholder primacy on European company law. Full direct horizontal effect will also have important repercussions for private law and its ability to resolve conflicts between economic freedoms and fundamental rights. Given the nature of the free movement provisions, their horizontal effect will sometimes lead to a constitutionalised market and sometimes to a marketised constitution, without there being any principled way of distinguishing between the two. In that light, horizontal direct effect is very unlikely to enhance the effectiveness of internal market law—whichever model of the social market economy it is thought to embody—and is best abandoned.
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 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 | 0.019 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.055 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".