Rethinking Docent Training at the Montreal Museum of Fine Arts: A Pilot Project
Why this work is in the frame
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Bibliographic record
Abstract
Abstract: In 2014-2015, the Montreal Museum of Fine Arts (MMFA) and Concordia University's School of Extended Learning conducted a joint pilot project with the objective of determining the effectiveness of a new approach for training volunteer museum guides based on a dialogic method. In this paper, we address: (i) the conceptualization of alternative training based on dialogic concepts; (ii) the development of a new course outline; (iii) the trial period during which volunteers took part in test training; (iv) and, finally, aspects of what we learned during this undertaking. This pilot project is important because it will influence future docent training at the MMFA and possibly elsewhere.KEYWORDS: Museum education; docent training; dialogic teaching; video elicitation; participant-centered exchangesRésumé: Le Musée des beaux-arts de Montréal (MBAM) et l’École d’apprentissage prolongé de l’Université Concordia ont mené en 2014-2015 un projet pilote concerté afin de déterminer l’efficacité d’une nouvelle approche de formation des guides bénévoles au musée, approche fondée sur une méthode dialogique. L’article couvre les points suivants : (i) la conceptualisation d’une nouvelle formation fondée sur les concepts dialogiques ; (ii) la mise au point d’un nouveau schéma de cours ; (iii) la période d’essai pendant laquelle les bénévoles ont suivi la nouvelle formation à l’étude ; et finalement (iv) les différents aspects de ce que nous avons appris au cours de cette démarche. Ce projet pilote est important car il influencera la formation future des guides-interprètes du MBAM et peut-être même ailleurs.MOTS CLES: Éducation muséale; formation guide bénévole; enseignment dialogique; incitation par video; les échanges participant
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it