Estudio de derecho comparado de los diferentes modelos de protección penal animal
Bibliographic record
Abstract
The present work is about a study of comparative law of the crime of animal abuse \nin different countries (Spain, France, Switzerland, Russia, the United States, Canada, \nIndia and Japan). The main objective of this study is to address the level that Spain \nhas in relation to other countries in terms of animal abuse. First, animal protection is \ndetermined worldwide through a series of declarations and, subsequently, an \nanalysis of animal abuse is carried out in the selected countries. As far as Spain is \nconcerned, this work analyzes the most problematic aspects of the crime, such as the \ndelimitation of the protected legal asset, as well as the evolution of its regulation in \nrecent years due to the increase in the population's concern for the animals. Likewise, \na study of article 337 and 377 bis CP is carried out, whose introduction is due to the \ngreat social conflicts generated around this problem. Finally, a series of social and \nde lege ferenda proposals are exposed, for the benefit of animals so that, in the field \nof Criminal Law, there is a more effective application.
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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 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".