A Search for Decolonizing Place-Based Pedagogies: An Exploration of Unheard Histories in Kitsilano Vancouver, B.C.
Bibliographic record
Abstract
This paper explores the ways that place-based pedagogies can facilitate dialogue on colonization, or some of the “dark matters” of environmental education, specifically by engaging non-Indigenous adults in decolonizing dialogues. I share findings from an action research project with Kitsilano Neighbourhood House in Vancouver, British Columbia. Working with seven adults, I facilitated a series of three workshops, in which I invited participants to learn forgotten or unheard Aboriginal, immigrant, and settler histories in their neighbourhood. Participants primarily chose to research the histories of Euro-Canadian settlers; however, they were willing to talk about colonization, decolonization, and reconciliation. I suggest integrating practices from arts-based education, indigenizing and decolonizing pedagogies, and anti-racism education to further engage learners in decolonizing their place-based learning.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".