Bibliographic record
Abstract
The environmental problems of climate change and species decline can feel overwhelming. Individuals are often at a loss, questioning what impact they can actually have. Through chART Projects, we have witnessed the dramatic effect of community-engaged art as a direct path to environmental action and impact on local ecosystems. During the 27thInternational Ornithological Congress, bird enthusiasts from around the world focused their attention on Vancouver, Canada. This article is a reflection on how chART took advantage of this assembly, creating an ambitious venture aiming for a sustainable effect on the public’s relationship to urban birds. As the Crow Flies was a public art project bringing creative connections to urban birds directly into the hands of the public. Works included sited-sculpture, community-engaged interventions, projections, workshops, performances, and 6,000 ceramic crows. chART’s founder, Cameron Cartiere has been working with an interdisciplinary team to address the loss of pollinators through Border Free Bees. That research project used environment-based art to engage communities to take positive action in order to improve conditions for pollinators, with tremendous success. As the Crow Flies took a similar approach to highlight the loss of bird species and actions individuals could take to improve the odds for their feathered neighbours.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".