Les concepts en mouvement : une méthode basée sur la poésie pour la visite de groupe dans l’exposition d’art contemporain
Bibliographic record
Abstract
Résumé : L’objectif de cet article consiste à présenter ma méthode de recherche des concepts en mouvement basée sur la poésie pour la visite de groupe dans l’exposition d’art contemporain. Cette méthode s’élabore en dialogue avec l’approche pédagogique de l’équipe de l’éducation à la Fondation PHI qui s’ancre dans la notion de mouvement et dans la méthodologie des concepts migratoires (Bal, 2002). Ma pédagogie féministe basée sur les concepts en mouvement est une extension des concepts migratoires, mais elle s’en distingue en se situant spécifiquement dans l’écriture poétique née d’une fulgurance de conscience-lucidité qui connecte mon corps-sujet avec l’affect de l’œuvre. Mots-clés : Recherche poétique; Art contemporain; Éducation à l’art; Pédagogie du mouvement; Philosophie féministe; Corporéité; Poésie comme pédagogie. Abstract: The purpose of this article is to introduce my poetry-based research method that draws from concepts in movement to develop group visits within contemporary art exhibitions. This method was conceived in dialogue with the pedagogical approach of the PHI Foundation’s Education Team, which is anchored in the travelling concepts’ methodology (Bal, 2002). Although an extension of travelling concepts, my feminist pedagogical approach is distinct because it is rooted in poetic writing which emerges in response to a lucid awareness of the connection between my body-as-subject and the artwork’s affect. Keywords: Poetic inquiry; Contemporary art; Art education; Pedagogy of movement; Feminist philosophy; Embodiment; Poetry as pedagogy
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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 | 0.034 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".