School Strike 4 Climate (Justice): Exploring the Experiences of Climate Strike Organizers in Canada
Bibliographic record
Abstract
Within the Canadian climate strike movement, there are varying understandings of climate justice, a principle the movement claims to advocate for. This thesis explores the understandings and definitions of climate justice from the perspective of climate strike organizers from across Canada and the ways in which climate justice is represented and communicated from the Canadian national organizing body, Climate Strike Canada. To explore these understandings and communications, I began by conducting semi-structured interviews with climate strike organizers; I then analyzed the Climate Strike Canada Instagram page. Through critique of these data, I argue that climate justice for these climate strikers is action-oriented and emotional, and that it is deeply rooted in place and time. These findings reveal the ways in which climate strikers define, practice, and ground their climate justice through everyday actions in the climate strike movement, and it explores the unique experiences of climate strike organizers across Canada.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.065 | 0.024 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| 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".