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Record W571238954

Inuit : When Words Take Shape

2002· book· fr· W571238954 on OpenAlexaboutno aff
Raymond Brousseau, Carine Ayélé Durand, Louis Gagnon, Frédéric Laugrand, Philippe Le Goff, Vladimir Randa, Michèle Therrien, Bertrand Mazeirat

Bibliographic record

VenueGlénat eBooks · 2002
Typebook
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionVariety (cybernetics)Index (typography)MusicalVisual artsNatural (archaeology)The arcticArcticArtAnthropologyGeographyArt historyHistoryArchaeologySociologyWorld Wide WebComputer scienceBiologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This richly illustrated catalogue was published to accompany an exhibition of Inuit art from the Canadian Arctic, which gathered the works of some sixty artists. The texts include a variety of perspectives on Inuit lifestyle, religion, oral traditions, musical and scuptural practices, and the natural environment. Gagnon and Durand recount the evolution of the Museum de Lyon’s collection and describe the recently acquired pieces of Inuit art. Includes an index of artists, a location map of Inuit territories as well as historical and artistic chronologies (2 p.) ; bibliography (2 p.).

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)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0110.004
Scholarly communication0.0150.012
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0870.031

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 head0.061
GPT teacher head0.320
Teacher spread0.258 · 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
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
Published2002
Admission routes1
Has abstractyes

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