General Principles of EU Law: The Ghost in the Platonic Heaven in Need of Conceptual Clarification
Bibliographic record
Abstract
General principles are en vogue in EU law – and in need of conceptual clarification. A closer look at several concepts of principle in legal philosophy and legal theory sheds light upon the concept of general principles in EU law. A distinction between an aprioristic model of principle and a model of principle informed by legal positivism may contribute to clarifying the genesis of a (general) principle in EU law, as well as its nature and functions. This paper demonstrates that an evolution has taken place from a reliance on seemingly natural law inspired reflections of general principles via the desperate search to ground general principles in various kinds of sources based on a more or less sound methodology towards an increasing reliance on strictly positivistic approaches. Against this backdrop, general principles are likely to lose significance where there are other norms while retaining an important yet uncontrollable role where the traditional canon of sources is silent.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.013 | 0.021 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".