Naming Ourselves as Popular Educators: An Appreciative Inquiry into West Coast Canadian Artists' Identity
Bibliographic record
Abstract
This multimedia essay combines words and images in a creative performance drawn from our 2009 cross-Canada Whistlestop Project, 1 a study of the diverse art practices of Canadian popular educators involved in the women’s movement. We focus on the Tofino Whistlestop on Vancouver Island on the Pacific Coast, the most westerly point on this research-by-rail journey, which began on the Atlantic coast. The eight participants at The Common Loaf Bake Shop in Tofino represented diverse art forms: arts-researcher Dorothy; arts-researcher and photographer Anita; baker-designer Maureen; painter-collagist-muralist Marla; flamenco dancer Therese; baker-mosaic artist Stephanie; poet-writer Chris; and, poet-writer-videographer John. This essay unfolds as a show and tell of the research participants’ art practices as they constitute popular education in the context of arts-based action research methodology of Appreciative Inquiry (AI) to generate personal and collective stories of life-affirming experiences of art as popular education. This video essay highlights the relational art of story-telling and story-receiving through gesture, performance, and symbol.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.064 | 0.060 |
| Scholarly communication | 0.024 | 0.009 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".