Conversations With Gardens: Artful Spaces in Community Art Education
Bibliographic record
Abstract
The educational potential of multimodal digital technologies performed as public pedagogies in a community art context is explored through a heritage garden and museum space in Quebec, Canada. Using a walking methodologies approach, this chapter chronicles the incubation of an immersive digital technology project that evolved from an audio walk to an experimental collaboration between les Jardins de Métis/Reford Gardens and the PRISME Innovation Lab at the Montreal Museum of Fine Arts. Through an interactive digital interface, the human, nonhuman and more-than-human agents forming the Jardins de Métis community become entangled in dynamic thinking-making intra-actions, underscoring the complexity of the project. An assemblage of tensions and event-encounters with diverse agencies form intriguing connections and transversal refractions: being and becoming through public art and community exchange. Walking-with this garden initiates a metaphoric conversation, dialogic and relational, between co-constituents of a place and spaces within that place.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.008 |
| 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".