¿El perro: el mejor amigo del hombre? Las raíces americanas de la domesticación de España en las obras de Las Casas
Bibliographic record
Abstract
Aunque la imagen tradicional de Las Casas es la del defensor de los indios, el enfoque en este aspecto de sus actividades filosóficas reduce y simplifica la extensión máxima de sus ideas. A través de su escritura, este fraile desarrolla una serie de conceptos que explican cómo el estado de excepción de los pueblos indígenas era el catalizador de la civilización de los españoles, el mismo grupo que pretendía civilizar a los indios. Este artículo examina la representación de lo canino en las obras de Las Casas como parte del proyecto civilizador no de los indios, sino de los españoles. Su presencia en la las obras de Las Casas sirvió para hacer hincapié en los mensajes que condenaban el comportamiento de los españoles en sus interacciones con los indígenas. En última instancia, lo que propone este trabajo es una nueva lectura de las obras de Las Casas que interpreta sus ideas no sólo como uno de los primeros defensores de los derechos indígenas, sino también como un filósofo político que reconoció la necesidad de entregarse al poder absolutista para poder salir de la brutalidad de la excepción que queda afuera de la sociedad. Although the traditional image of Las Casas is that of the defender of the indigenous peoples, the focus on this aspect of his philosophic activities reduces and simplifies that maximum extension of his ideas. Through his writing, Las Casas develops a series of concepts that explain how the state of exception of the indigenous populations was the catalyst of the actual civilization of the Spaniards, the very group that claimed to be civilizing the indigenous groups. This article examines the representation of the canine in the works of Las Casas as part of the civilizing project not of the Indians, but rather of the Spaniards. Its presence in the works of Las Casas emphasizes the messages that condemned the behavior of the Spaniards in their treatment of the Indians. Finally, this article proposes a new reading of Las Casas’ works that interprets his ideas not only as one of the first defenders of indigenous rights, but also as a political philosopher who understood the necessity to recognize a greater power to be able to overcome the brutality of the state of nature that exists outside of society.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".