Seeding the Future (This Is Not a Metaphor): Creative Acts of Public Gardening with Yarrow Collective
Bibliographic record
Abstract
In a world beset by climate crisis, how can artists create participatory performance work that moves audiences from distant spectators to become active agents with an awareness of the role they play in a larger ecosystem? On lək̓ʷəŋən territory, colonially known as Victoria, BC, Yarrow Collective creates multidisciplinary installations that invite communities into creative acts of public gardening. In this case study, co-creators Sammie Gough and Laurel Green trace the development of their new work for Pacific Opera Victoria’s Voices in Nature that toured city parks in the summer of 2022. Drawing from a wide variety of influences, they envision the transformative potential of weaving together their artistic practices in an ongoing collaborative relationship with the life cycles of Indigenous plants and pollinators. They confront their own settler-inherited, extractive notions of what a garden should be and explore what becomes possible when gardening is shifted from expert labour to a shared creative act. Yarrow Collective’s installations become meeting places for intergenerational temporary communities that offer ecological resources, hold space for uncomfortable truths, and yield opportunities for ongoing stewardship as both collective journeys and site-responsive living artworks.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".