Encountering creative climate change pedagogies: Cartographic interruptions
Bibliographic record
Abstract
In this paper, we highlight climate change pedagogies within the context of an Indigenous Summer Encounter for Latinx and Indigenous children led by Miakan-Band Elders, members of a Central Texas Coahuiltecan community. We focus on anticolonial cartographies activated through movement, sound and performance that enacted Indigenous fugitivity, futurity, and relationality; pedagogical attunements that remain undertheorized as approaches to climate change education. In engaging with these pedagogies as climate change education, we are interested in contributing to recent work that resists the disciplinary boundaries of what typically counts as climate education and invites expansive and interdisciplinary approaches to climate change education. This includes approaches that inquire into how climate change education can be a site to nurture reciprocal relations with the more than human world. In particular, we highlight the Summer Encounter as illustrating possibilities for anticolonial climate education that engages creative pedagogies in foregrounding Indigenous relational onto-epistemologies with young people. We discuss the potential of this work as climate change education that actualizes and dreams more livable futures.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".