Consideraciones éticas y jurídicas sobre bienestar animal en unidades de práctica laboral investigativa
Bibliographic record
Abstract
espanolEn el presente trabajo se realizaun analisis de las consideraciones eticas y juridicas sobre bienestar y experimentacionanimaly se hace referencia a un folletoquereune la normativa al respecto, publicado como material de apoyo a la docencia. El estudio abarcoun analisis donde se tomo como referencia el conjunto de leyes y regulaciones mas importantes puestas en vigor por los paises miembros de la Comunidad Europea,incluidaslas nuevas legislaciones, uso de alternativas y el control sobre los procedimientos en los experimentos.Se incluyo tambien lo regulado en Canada y EE.UU. y al referirse a Cuba se explica lo hecho hasta el presente en materia de proteccion con respecto al uso de los animales a traves de las medidas dictadas por el Centro de Produccion de Animales de Laboratorio. En el caso de los animales productivos y utilizados en la docencia se trabajo sobre la base de lo estipulado en Leyes, Decretos-Leyes, Decretos, Resoluciones e Instruccionesdel Comite Ejecutivo del Consejo de Ministros,el Ministerio de la Agriculturay el Instituto de Medicina Veterinaria. Finalmente, se estableceun resumendel folletoque reune lo legislado en cuanto a proteccion animal,y de esta forma se orienta el trabajo diagnostico llevado a cabo por los estudiantes de las Ciencias Agropecuarias durante la practica laboral investigativa en la Empresa Agropecuaria Ruta Invasora. EnglishIn this work, an analysis of the ethical and legal considerations on animal welfare and experimentation is carried out and reference is made to a brochure that gathers the regulations in this regard, published as teaching support material. The study included an analysis where the set of most important laws and regulations put into effect by the member countries of the European Community was taken as a reference, including new laws, use of alternatives and control over the procedures in the experiments. The regulations in Canada and the USAwere also included, and referring to Cuba explains what has been done to date in terms of protection with respect to the use of animals through the measures issued by the Center for the Production of Laboratory Animals. In the case of productive animals used in teaching, work was done on the basis of the provisions of Laws, Decree-Laws, Decrees, Resolutions and Instructions of the Executive Committee of the Council of Ministers, the Ministry of Agriculture and the Institute of Medicine Veterinary. Finally,a summary of the brochure is established that gathers the legislation regarding animal protection, and in this way the diagnostic work carried out by the students of Agricultural Sciences is oriented during the investigative work practice in the Ruta Invasora Agricultural Company.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".