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Record W1509165450 · doi:10.4000/tc.3945

Zoos et cause animale

2008· article· fr· W1509165450 on OpenAlexaff
Frédéric Joulian, Christophe Abegg

Bibliographic record

VenueTechniques & culture · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article, rédigé dans un contexte de débats sur les fonctions des zoos, a été repris et actualisé au regard des avancées du terrain et des réformes des zoos. Nous interrogeons les discours des zoos sur un aspect crucial, celui de leur légitimation de l’enfermement d’animaux sauvages, et cela en examinant les différents arguments avancés : conservation d’espèces rares, recherche scientifique, éducation du public. Nous discutons également la question de la réintroduction d’animaux en milieu naturel et la pertinence de telles entreprises au regard des multiples échecs subis au fil des années. Nous interrogeons de façon critique les changements de dispositifs d’exposition (de traditionnels en cage aux « naturalistes enrichis ») qui renvoient à de nouveaux modèles de conception et d’administration de la nature. Au final, nous analysons les contradictions majeures entre causes animales et dimensions anthropologiques ou conservatoires, et plus largement, l’asymétrie politique Nord-Sud dont les questions de conservation et d’exposition d’animaux sont de pertinents indicateurs.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.037
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.052
GPT teacher head0.363
Teacher spread0.311 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2008
Admission routes1
Has abstractyes

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