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Record W4415517622 · doi:10.21494/iste.op.2025.6773

Hexagram : un acteur majeur du développement de la recherche-création au Québec

2025· article· fr· W4415517622 on OpenAlexaboutno aff
Nadia Seraiocco, Sofian Audry, Alice Jarry

Bibliographic record

VenueArts et sciences · 2025
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)LimitingHistorical heritage

Abstract

fetched live from OpenAlex

Au Québec, dès la fin des années 60, la réforme du système d’éducation mène à l’intégration des Écoles d’art au sein des universités. La présence d’artistes au sein du corps professoral amène à reconcevoir les pratiques artistiques en milieu académique comme des formes de recherche, ce qui induit le développement de nouveaux paradigmes épisté-mologiques. L’émergence de la recherche-création comme approche de recherche a ouvert tout un champ de possibles pour les arts, les sciences humaines et les sciences. Le réseau Hexagram pour la recherche-création en art, culture et technologies est fondé en 2001 alors que la recherche-création s’institutionalise et qu’elle est reconnue et financée par les grands fonds de recherche au niveau provincial et fédéral. Aujourd’hui, Hexagram est le creuset de collaborations interna-tionales en recherche-création art et science.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.004
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.003

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 head0.596
GPT teacher head0.448
Teacher spread0.148 · 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.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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