Exploring Art as a Communication Interface for Watershed System Resiliency
Bibliographic record
Abstract
Art has shown promise as a method of communicating the science and attendant need for watershed restoration work to both practitioners and the public. My thesis is exploratory; it explored whether art can convey concepts of connectivity, capacity, and resiliency as they relate to restoration in small socio-ecological watershed systems in southern Bruce County, Ontario, Canada and to larger hydrological systems in general. Holling’s classic resilience loop was combined with qualitative observations from a beaver wetland complex using Arts Based Research and an interpretative phenomenology methodological framework to prototype an ecological art exhibit. This exhibit was presented ten times to varied and multidisciplinary audiences and informal anonymous feedback was gathered. This ecological art exhibit showed potential to broaden uptake for the methodologies and motivators for restoring connectivity and capacity to increase watershed system resiliency. Hence, the use of art as alternative medium to central textual messaging may have potential to help circumvent communication barriers encountered in ecological restoration.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".