The Case of<i>Laval</i>in the Context of the Post-Enlargement EC Law Development
Bibliographic record
Abstract
This article does not envisage an overwhelming goal to present a detailed X-ray of the recently much-discussed ECJ decisions in the field of social law, namelyLavalandViking.One could find several very profound papers whose authors thoroughly explore the various issues at stake, including the trade unions strategies in the frame of the EC Law, the role of the Posted Workers Directive, a horizontal direct effect in the context of the service-providing, the negotiation of wages and the Scandinavian social model. Therefore, the goal of this piece is to putLavalinto the macroflora of a wider context, inherent to the effects of the post-enlargement labour conflict and its implications for the fundamentalization of social rights in the Union.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".