Connecting to the Museum Experience: The Beauty of Human Complexity in Action
Bibliographic record
Abstract
Considering cultural democracy and democratization as the modalities of cultural mediation, arts educators’ acknowledgment of human beings in all their complexity seems to be a central element in creating inclusive museum education programs. Viewing the museum as a multifaceted mirror of society where one envisions other realities, our research aims to examine the variety of possible connections that adults can make through engagement with artworks. Mapping adults’ experiences in art museums during their appreciation highlights the meaning of an encounter that encourages reflection on self and others. This occurs when an adult can experience tension and reconciliation in the process of selfdiscovery while exploring artworks. For art educators, this involves creating mediation strategies that allow for openness to multiple perspectives, in which an individual can engage with artworks while recognizing divergent perspectives that may be addressed in ways that reflect on one's actions and societal impacts.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.046 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".