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Record W2896012072

Noé et Grand-Ours : Une aventure au Yukon : Album jeunesse, à partir de 4 ans

2017· book· fr· W2896012072 on OpenAlexaboutno aff
Daniel S Marcotte, Francesca Sacco

Bibliographic record

VenueEditions des Plaines eBooks · 2017
Typebook
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Noe, le petit avion, et Grand-Ours, son pilote, profitent du beau temps pour faire des livraisons a travers le Yukon. Leur itineraire peut changer aussi vite que les conditions de vol, car rien n’arrete ce duo, toujours pret a rendre service. Dans cet album pour enfants, l’auteure Danielle S. Marcotte fait vivre les elements de la culture et du mode de vie au Yukon, en passant par l’escale dans plusieurs communautes. Par exemple, a Dawson City, nos deux comperes rencontrent une grand-mere de la Premiere Nation Vuntut Gwitchin en visite dans cette ville. Elle leur demande d’aller au secours du chien de sa petite-fille, Emilie, au lac Laberge. Noe et Grand-Ours tenteront donc d’y amerrir pour apporter le baume traditionnel amerindien prepare par l’aieule et guerir l'animal.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0360.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.054
GPT teacher head0.361
Teacher spread0.307 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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