Advancing Inclusion as Social Justice: When Museums Become Spaces of Belonging That Support Diverse Learning Experiences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While inclusion within public spaces is a matter of social justice, museums may not be doing enough to support inclusion. In this chapter, I draw from social justice theory to examine how an educational programme offered at The Montreal Museum of Fine Arts (MMFA) in Quebec, Canada serves as an exemplar for museums wishing to advance inclusion as social justice. The inclusionary potential of this programme comes from not only increasing access to the museum, but also from increasing access to a space where people want to be and creating the conditions where people feel valued while sharing common meaningful experiences across a range of differences. Given that museums’ social value comes from their capacity to enrich lives, broaden horizons, and promote creativity across a range of social differences, practices of inclusion within museums are essential considerations.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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 it