The Virtual Water Gallery: a collaborative science and art project
Bibliographic record
Abstract
Water is life and so water-related challenges, such as droughts, floods and water quality degradation, affect everyone. Conceptualizing water-related environmental and social problems in novel ways, with engagement between the public and science researchers, may lead to new and more comprehensive solutions to complex problems. A society that makes decisions informed by science and science that approaches problems in a transdisciplinary manner are key elements in finding creative and holistic solutions to the water-related challenges we all face. We believe that art can help co-establish new social norms to help us grasp and tackle water-related challenges in a more holistic manner. The Virtual Water Gallery* is a science and art pilot project funded by Global Water Futures (GWF). GWF is a University of Saskatchewan-led research program that is funded in part by the Canada First Research Excellence Fund. Its overarching goal is to deliver risk management solutions, informed by leading-edge water science, to manage water futures in Canada and other cold regions where global warming is changing landscapes, ecosystems and the water environment. Launched in Summer 2020, the Virtual Water Gallery aims to provide a safe, inclusive and collaborative space for fully open discussions between scientists, artists, and a wider public, to explore past, present and future water challenges. As part of this pilot project, 13 artists were paired with teams of GWF scientists to co-explore specific water challenges in various Canadian ecoregions and river basins, including the Arctic, the mountains, boreal forests, prairies, farmlands, lakes, rivers, and communities. These collaborations are leading to the co-creation of science and art pieces which will be exhibited online on a Virtual Water Gallery. By making this online exhibition accessible to a global audience, we hope that the co-created art pieces will open creative and informative discussions about urgent water challenges to a wider audience via the gallery space. *More information about the Virtual Water Gallery on the GWF webpage: https://gwf.usask.ca/outreach/virtual-water-gallery.php
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.
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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.010 |
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".