The Recognition of Professional Qualifi cations in the European Union The Practice of Administration and European Courts – The Ski Instructor Example
Bibliographic record
Abstract
The case of the English ski instructor Simon Butler working in France is the best example of the malfunctioning of the professional-qualifi cationsrecognition system in Europe. The practice of European and national administration as well as the jurisprudence of the CJEU and French courts shows how important and complex the subject of qualifi cation recognition is. A review of administrative practices and an analysis of case law show the positive and negative sides of the EU’s qualifi cation recognition system. The European Commission is carrying out numerous activities aimed at improving said system. The latest solutions make the idea of qualifi cation without borders a reality. The most important task is to examine the changes and legislative proposals of the European Union, analyse the case of Simon Butler and present proposals for changes against the background of activities undertaken throughout the Union. They should be realised through legal research methods and non-reactive social methods.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".