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Record W2077172109 · doi:10.7202/1027666ar

Écologie de la reproduction du harfang des neiges dans l’Arctique canadien

2014· article· fr· W2077172109 on OpenAlex
Jean‐François Therrien, Gilles Gauthier, Audrey Robillard, Nicolas Lecomte, Joël Bêty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLe Naturaliste canadien · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité LavalUniversité du Québec à Rimouski
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

Nous avons étudié l’écologie estivale du harfang des neiges à l’île Bylot, au Nunavut, pendant plus de 20 ans. Nous avons examiné l’influence de la phénologie de la fonte de la neige au printemps et de la densité de lemmings sur le nombre de nids, la date et la taille moyenne de ponte ainsi que le succès de nidification des harfangs. Nous avons également mesuré la croissance des jeunes et évalué le régime alimentaire estival des harfangs. Le nombre de nids et le succès de nidification ont varié annuellement, en lien avec la densité de lemmings. Ces proies ont composé plus de 95 % du régime alimentaire estival. La date et la taille de ponte moyenne ont démontré des variations annuelles, mais ne semblaient pas affectées par la phénologie de la fonte de la neige ou la densité de lemmings. La densité de lemmings au site de nidification semble être le principal élément qui détermine la décision de nicher à l’île Bylot, malgré le fait qu’une forte densité de petits rongeurs ne garantisse pas toujours la présence de harfangs nicheurs.

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.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.313
Teacher spread0.292 · 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