Escaping the jurisdiction of the Court of Justice for the European Union by EUXIT
Bibliographic record
Abstract
Escaping the jurisdiction of the Court of Justice of the European Union (CJEU) is not just one of the goals professed in the White Paper on exiting the EU – it most likely qualifies as one of the Prime Minister’s red lines for any so-called “Brexit Deal”, next to free movement. After all, the Court of Justice found some flag ship policies devised under Theresa May as Home Secretary to be incompatible with EU law, lastly - on 21 December 2016 - the Data Retention Regulations, also dubbed “Snoopers’ Charta”. But just how realistic is it to achieve this aim? The occasional paper discusses this question, analysing the EU Treaties, the EEA Treaty, and the EU's treaties with neighbouring countries and the Trade Agreement with Canada (CETA)
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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 | 0.038 | 0.065 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.035 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".