Extreme environments: An educational framework for arts-based field research
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
Field station research locations offer scientists isolation and immersion for more precise statistical analysis of climate change and environmental damage. As more art/science initiatives develop in academia, art students are gaining access to difficult scientific research sites and using the experience to fuel creative strategies. The methodology for offering a course that taps these into possibilities for the teaching of creativity remains little explored. Through a case study at the School of Creative Media in Hong Kong, this article examines how student expeditions that work adjacent to environmental scientists in extreme environments can be used for the teaching of creativity and artistic process as well as informing a larger public on climate issues. The structure of the program with detailed descriptions of sequenced proficiencies is presented. Both pedagogical philosophy and logistic issues will be discussed through the set-up and organizational structure of the course, the variety of teaching materials, assignments, dissemination and finally the exhibition and impact of the students’ work. Using scientific resources with the goal of artistic interpretation, the pedagogy is designed to respond to the emerging potential of digital technologies in creative media. The results, both for the students and the public, demonstrate multimodal approaches that offer broader possibilities for learning and outreach that are both scalable and transferable.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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