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Record W4404156404 · doi:10.1515/9781773855523

Prairies entrelacées

2024· book· fr· W4404156404 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2024
Typebook
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Au cours de la deuxième moitié du vingtième siècle, un foisonnement remarquable d’oeuvres textiles novatrices s’est produit dans les Prairies canadiennes. Mêlant traditions artisanales, mouvements de l’art moderne et moderniste et approches théoriques, un groupe de créateurs d’origines diverses ouvrent alors un magnifique chapitre de l’art du textile. Prairies entrelacées , qui réunit certains des chercheurs les plus importants dans le domaine de l’artisanat au Canada, étudie les oeuvres créées par quarante-huit artistes entre les années 1960 et 2000. Ayant retrouvé et catalogué cette histoire oubliée, cet ouvrage s’intéresse tant aux artistes de la fibre qu’aux divers centres d’études et de production textile, s’attardant en particulier aux contextes de création de ces oeuvres. Chercheurs autochtones, experts des techniques textiles et des Prairies canadiennes proposent une plongée fascinante dans un mouvement artistique insuffisamment documenté jusqu’à présent. Avec plus de cent cinquante magnifiques illustrations couleurs d’oeuvres textiles, dont un grand nombre d’entre elles n’ayant jamais été photographié, Prairies entrelacées ouvre une fenêtre sur un mouvement fascinant qui, n’ayant jamais reçu l’attention qu’il mérite, encourage la recherche dans cette riche période de l’histoire de l’art au Canada. Poursuivant le succès de l’exposition itinérante du même nom, l’ouvrage Prairies entrelacées est une collaboration entre les Nickle Galleries de l’Université de Calgary (Alberta) et la MacKenzie Art Gallery de Regina (Saskatchewan).

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.847
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.005
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0650.010

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 head0.023
GPT teacher head0.198
Teacher spread0.175 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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