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Record W2080987079 · doi:10.7202/1027673ar

Programme de réhabilitation des oiseaux de proie au Québec : bilan 1986-2013

2014· article· fr· W2080987079 on OpenAlexfundvenueaboutno aff
Guy Fitzgérald

Bibliographic record

VenueLe Naturaliste canadien · 2014
Typearticle
Languagefr
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersUniversité de MontréalMinistère des Forêts, de la Faune et des Parcs
KeywordsHumanitiesHabilitationArt

Abstract

fetched live from OpenAlex

L’Union québécoise de réhabilitation des oiseaux de proie (UQROP) a implanté, en 1986, un programme provincial de réhabilitation d’oiseaux de proie sauvages en collaboration avec la Faculté de médecine vétérinaire (Université de Montréal), le Centre de recherches Macdonald sur les rapaces (Université McGill) et le ministère du Loisir, de la Chasse et de la Pêche du Québec. Plus de 8 000 individus appartenant aux 27 espèces d’oiseaux de proie du Québec ont été admis dans ce programme. Près de 42 % de ces oiseaux ont été remis en liberté. Sur les 2 285 oiseaux relâchés munis d’une bague, 72 (3 %) ont été récupérés. Le programme de réhabilitation couvre l’ensemble du Québec. Près de 54 % des oiseaux reçus ont été acheminés par les agents de protection de la faune du gouvernement du Québec. Légalement, au Québec, les oiseaux de proie trouvés morts ou vivants doivent être déclarés et ils sont acheminés au réseau de l’UQROP par des bénévoles, par avion ou par messagerie. La formation offerte aux étudiants gradués en médecine vétérinaire a permis notamment la publication d’articles scientifiques basés sur les spécimens rapportés. Le programme éducatif de l’UQROP a permis de sensibiliser des millions de personnes depuis 1990. Globalement, les réalisations de l’UQROP ont contribué à la conservation des oiseaux de proie.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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 designObservational
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

Citations1
Published2014
Admission routes3
Has abstractyes

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