“We Are the Movement”: Tkaronto-based Indigenous Youth \nExplore Environmental (In)Justice
Bibliographic record
Abstract
With concern for the world they’re inheriting, young people across Turtle Island are rising up to address local and global concerns. Building from a long lineage of resistance, Indigenous youth, whose communities are often the first to face the consequences of environmental degradation, frequently find themselves on the front lines of these battles. And yet, largely across “Canada”, particularly in urban contexts, their voices remain routinely muted. Honing in on the theory and practice of environmental justice – a concept that arguably lays at the nexus of contemporary youth-led pursuits - this inquiry aims to re-center the experiences and perspectives of Indigenous youth who reside in Tkaronto. Weaving together existing literature with the findings of an arts-based workshop series attended by 10 youth, it recounts these experiences in relation to their understandings of enacting change. Emphasizing the cyclical nature of environmental violence, youth point to the importance of land connection, cultural continuity and collaboration in re-establishing balance amongst our relations. Ultimately contending with their capacity as water and land protectors, this papers seeks to advance discussion on how to better support Indigenous youth in their efforts to move toward (environmental) justice while simultaneously striving to ensure that the voices of city-based, Indigenous youth are represented in a parallel pursuit to develop a distinct environmental justice framework informed by Indigenous knowledge systems (IKS), legal orders, conceptions of justice and the lived experiences of Indigenous peoples.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 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".