Poésie intégrée aux arts visuels: une étude de cas sur la créativité / Integrating Poetry to Visual Arts: a Creativity Case-Study
Bibliographic record
Abstract
Résumé : Cette étude exploratoire vise à réfléchir sur la créativité en examinant la place de la poésie dans une pratique artistique en arts visuels. Trois stratégies de développement de la créativité y sont présentées et on souligne l’importance de faire place à la rêverie pour créer. De genre autobiographique, l’auteure analyse plusieurs de ses productions artistiques réalisées dans le cadre de symposiums, de résidence d’artiste et d’exposition. Il en ressort des pistes d’intégration de la poésie aux arts visuels qui pourraient s’avérer pertinentes pour le domaine de l’éducation.Mots-clés: Arts visuels; créativité; éducation artistique; poésie.Abstract: This exploratory research is meant as a reflection on creativity by studying the role of poetry within the practice of visual arts. It describes three creativity development strategies and stresses the importance of mind-wandering and imagination in the creative process. Adopting an autobiographic style, the author analyses several of her artworks created in residency and for exhibits. It proposes ways of integrating poetry to visual arts, which could be relevant in education.Keywords: Visual Arts; Creativity; Art Education; Poetry.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".