Legal Criticism of The Conceptualization of The Legal Good Protected Against the Crime of Animal Abuse in Peru
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Animal abuse is understood as non-accidental and socially unacceptable human behavior that causes pain, suffering or distress and/or death to an animal. This article aims to determine the conceptualization of the legal good protected against the crime of animal abuse when they are improperly exploited or treated with extreme cruelty; in the face of the impact on biodiversity and the ecosystem, typified in the Peruvian criminal system within property crimes, which leads to the interest of the owner being protected and not the life of the animal, producing legal-criminal conflicts in the sense that a difficulty is created to punish the crime. The method used is a topic review, exploratory in scope, with a thematic analysis design. From the results it has been corroborated that the annual number of animal abuse in the world amounts to 115 million, only to use them for cosmetic and scientific purposes; Japan, the United Kingdom, China, Canada and the United States are the countries that together carry out this practice in a percentage greater than 55% of the 115 million. It is concluded that Peruvian Law No. 30407 classifies animal abuse as a crime, in article 206-A of the Penal Code, producing doctrinal discussions referring to the protected legal good, causing insufficient guarantees to protect the animal life that society and society Actually, it demands it.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it