El bienestar de los animales: un nuevo principio general y constitucional de Derecho comunitario. Sentencia Jippes, TJCE, 2001
Bibliographic record
Abstract
The decision "Jippes", returned by the ECJ in 2001, concerned a dispute relating to the FMD epidemic in Europe. To stop the spread of the disease, the European Union (EU) became an EU directive banning the use of vaccinations and imposed mandatory demolition of livestock. The principal applicant, Ms Jippes, owns the farm animals who refuses to kill stating that the EU spent a general principle of law on animal welfare that protected the animals from the physical pain and suffering except in case of need. In this sense, the policy that would prohibit and impose preventive vaccination required the demolition would be in direct conflict with this principle. However, the ECJ rejected this argument stating that the welfare of animals is not a general principle of Community law and concludes at the end of the validity of the measures against FMD
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".