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Record W2149897897 · doi:10.18270/rcb.v7i1.800

Bioética y bienestar de monos ardilla en cautiverio

2015· article· es· W2149897897 on OpenAlexaff
Gloria Elena Estrada-Cely

Bibliographic record

VenueRevista Colombiana de Bioética · 2015
Typearticle
Languagees
FieldMedicine
TopicEthics and bioethics in healthcare
Canadian institutionsCanadian Association of University Teachers
FundersUniversidad El Bosque
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

El bienestar de la fauna silvestre como problema bioético se ha discutido superficialmente en Colombia y el resto del mundo, especialmente en lo relacionado al bienestar de las especies de fauna silvestre en cautiverio. La presente investigación pretendió desarrollar dicho abordaje, con la construcción de referentes conceptuales,<br />a partir del análisis bioético de fuentes de información ofrecida desde la filosofía, la ética ambiental, la fisiología y la etología, directamente relacionadas con el bienestar de animales silvestres mantenidos en cautiverio. Desde el principialismo de la bioética, se pretendió establecer una relación entre el tema tratado y sus principios orientadores con el fin de permitir la construcción de indicadores del bienestar animal<br />con perspectivas bioéticas. La construcción de este discurso bioético crea un espacio de debate en el que el hombre reconoce y se hace consciente de la responsabilidad que tiene sobre sus actos. Dicha adquisición de conciencia pretermitirá reformular muchos de sus patrones comportamentales, especialmente en el marco de la relación humano–animal, y más específicamente humano–animal silvestre, de manera que prácticas como<br />la tenencia de primates en cautiverio como animales de compañía lleguen a ser vistas por toda la comunidad humana como prácticas incorrectas que deben erradicarse.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.077
GPT teacher head0.381
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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