Promoting Sustainability: Audience and Curatorial Perspectives on The Human Factor
Bibliographic record
Abstract
Abstract Humanity faces a growing list of socio‐economic and environmental problems, which impel us all to foster more sustainable forms of development. This paper examines how museums might encourage the kind of awareness that can lead to sustainability, by assessing responses to The Human Factor, a permanent exhibition at the Royal Saskatchewan Museum, which raises questions about values, beliefs, and actions associated with the industrialized worldview. Responses to the exhibition were assessed through quantitative exit surveys and a novel technique involving heart rate monitors. Additional qualitative insights were gained from responses of participants in a high school Youth Forum on Sustainability that used the exhibition to catalyze discussion. Together, these studies suggest that provocative exhibitions can foster understanding and awareness among teenagers and adults through a combination of cognitive and emotional responses, and that a focus on sustainability can be challenging both for visitors and for museums as cultural institutions.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".