Commissioning community-based art projects to support engagement with nature-based solutions
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
Understanding social-ecological connection is paramount to adoption and long-term viability of nature-based solutions (NbS). Here, we describe a three-year trial of community-engaged participatory research (CBPR) through an artist commission program run by Engage with Nature-based Solutions ( http://www.engagewithnbs.ca ). The program has thus far commissioned twelve Canadian artists to contribute their artistic research to facilitate conversations about climate change and conceptualizations of NbS. The artists we commissioned created a piece of art for their local community on NbS and climate, facilitated a community-engaged workshop to share their research creation, and supported the development of an online toolkit meant to help other communities engage with NbS and climate change. We suggest that this commission program is a cost-effective way to: (i) reach a diversity of communities typically outside the reach of academia, (ii) enlarge audiences who are engaged with NbS, (iii) provide alternative formats and mediums for engagement and education on NbS, (iv) give credence to artistic work as climate work, and (v) provide opportunities for collaboration between the arts/sciences and community/academia.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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