The current state of municipal climate action plans in effecting positive social justice outcomes in Canada
Bibliographic record
Abstract
Abstract Climate change is disproportionately impacting marginalised communities and exacerbating social injustices in Canada. Municipal Climate Action Plans (CAPs) are beginning to look at the challenges of the climate crisis and social injustices by incorporating language related to decolonisation, equity, diversity, and inclusion (DEDI) in their recommended actions. However, how DEDI is incorporated into CAPs remains underexplored. Therefore, this review evaluates the CAPs of 20 cities in Canada for the ways in which DEDI concerns are incorporated in their plans by using a framework that assesses the plans’ development processes, collaboration with stakeholders, ownership of actions, and evaluation methods. Our analysis finds that, in general, Canadian municipal CAPs do not go far enough in addressing social injustices. The results indicate that there is an opportunity for Canadian cities to revise their existing CAPs to address the identified gaps during the implementation process in ways that maximise positive and just social outcomes.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".