Normative Interactions and the Development of Labour Law: A European Perspective
Bibliographic record
Abstract
Abstract In important recent cases dealing with labour law issues, the European Court of Justice (ECJ) and the European Court of Human Rights (ECtHR) relied on a combination of international, European and domestic sources to justify their decisions. In Viking and Laval , the ECJ recognised that the right to take collective action as a fundamental right protected by EU law. In Demir and Baykara v Turkey , the ECtHR decided, for the first time, that the right to bargain collectively is an essential elements the right to form and to join trade unions covered by Article 11 of the European Convention for the protection of Human Rights. This chapter considers the reliance on multiple sources of law in this series of cases and questions the ‘combination method’ used by European courts to identify or interpret human right provisions. It argues that globalisation of legal sources in the area of labour law does not necessarily lead to ‘globalisation’ of labour law, allowing common solutions or, at least, harmonised solutions to come to life. The outcome of normative interaction is not universal labour law but instead largely depends on which court decides the case. Therefore, litigation strategies in the field of labour law should make use of the potential of normative interactions without ignoring the opportunities offered by the diversity of courts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".