Identifying a Conceptual Framework for the Study of Visitors’ Verbalizations of Self-Awareness while Exploring Contemporary Art in a Museum Context
Bibliographic record
Abstract
Abstract: Within the context of a research project in a museum setting where adults are engaged with contemporary art, the purpose of the article is to outline a comprehensive conceptual framework for the identification of moments of self-awareness. In particular, based on the analysis of 70 adult visitors’ discourses, we advocate the use of Morin’s model of self-information and levels of self-awareness to identify and articulate moments underlying the discovery of self that could contribute to an optimal museum experience. The transposition of Morin’s model into a conceptual framework will help researchers pursue their investigation into visitors’ art appreciation for the purpose of building authentic dialogues between contemporary art and adult visitors.KEYWORDS: Museum education; Contemporary art; Adult visitors; Self-awareness; Conceptual framework.Résumé: Cet article entend proposer un cadre conceptuel polyvalent pour identifier les moments de prise de conscience de soi chez des adultes confrontés à l’art contemporain, par le biais d’une recherche menée en contexte muséal. Plus particulièrement, nous préconisons, sur la base de l’analyse du discours de soixante-dix visiteurs adultes, l’utilisation des différents niveaux de conscience de soi et du modèle d’auto-information de Morin pour identifier et décrire les moments qui sous-tendent la découverte de soi, susceptibles d’optimiser l’expérience muséale. La transposition du modèle de Morin à un cadre conceptuel aidera les chercheurs à poursuivre leur étude de l’appréciation artistique des visiteurs en vue d’établir un authentique dialogue entre l’art contemporain et les visiteurs adultes. MOTS CLES: Éducation muséale; Art contemporain; Visiteurs adultes; Conscience de soi; Cadre conceptual
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".