Competing Supremacies and Clashing Institutional Rationalities: the Danish Supreme Court's Decision in the <i>Ajos</i> Case and the National Limits of Judicial Cooperation
Bibliographic record
Abstract
Abstract On 6 December 2016, the Supreme Court of Denmark (SCDK) ruled on the grounds of Ajos case. The ruling concerned the scope of the principle of non‐discrimination on the grounds of age and whether a national court could weigh the principle of non‐discrimination on grounds of age against the principles of legal controversy, as the protection of legitimate expectations. The ruling has caused a great deal of controversy as the SCDK defied clear guidelines from the Court of Justice of the European Union (CJEU) in the ruling. Moreover, the case has been seen by some as an example of a new ‘sovereigntism’ in Danish law that is at odds with the project of European integration through law. This article explains the case from both an EU law and Danish constitutional law perspective. It concludes by providing a set of explanations of the new course of the SCDK in its relationship with the EU.
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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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.031 |
| Scholarly communication | 0.022 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.014 | 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".