La voie de l'inclusion par la médiation au musée des beaux-arts : des publics fragilisés au public universel
Bibliographic record
Abstract
We study museums as a privileged place of inclusion for the audiences weakened by medical, social or medico-social issues. Our infocommunicational approach is based in the relationship between museum, audience and third party mediator, in museum education (mediation). Firstly, the museum's social roots and its desire for democratization make it relevant to the issue of museum and social inclusion. Secondly, vulnerable audiences are presented through the representations that surround them, the terms that describe them, the status of their accompanying persons in the museum, and that of culture in social work and health. Thirdly, museum education (mediation), through devices and museum educators (mediators), as well as by mobilizing museum-health relations, defines mediational approaches aimed at vulnerable audiences, between integration, inclusion and involvement. Our comprehensive research method allowed us to extract three target audiences (people : with Alzheimer's disease, learning French, visually impaired) in order to globalize the approaches. Six target museums (musée des Augustins in Toulouse, musée du Louvre-Lens in Lens, musée du Louvre in Paris, musée Fabre in Montpellier, Montreal museum of fine arts in Montréal, Museum of Modern Art in New-York) have allowed us to produce corpuses and interviews. Our thoughts for entering the path of inclusion are to think : on the one hand, a transversality of fragility leading to increase the universality of a mediation in universal design and to consider a single universal audience; on the other hand, the merger of the mediator / special educator partnership through a new hybrid museum-health operator : the remediator.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".