Between International Integration and National Autonomy in Favour of Concrete Cases: The Italian Constitutional Court’s ‘Internationally Oriented Automatism’s Prohibition’ Doctrine
Bibliographic record
Abstract
This paper deals with a peculiar doctrine of the Italian Constitutional Court, the “prohibition of legislative automatisms,” which is used, in some judgments, in an internationally oriented form. My argument is that this doctrine can be seen as an effective legal and constitutional instrument operating in the “multi-level” scenario and namely in the framework of international systems and treaties of human rights protection. Indeed, it provides a good degree of flexibility and a good balancing point between international integration and national autonomy in light of the need to reach an adequate and “fair” solution in the concrete case and, therefore, in favour of the enhancement of human rights protection at the practical level.
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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 | 0.016 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.041 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.010 |
| 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".