Climate Change Education within Canada’s Regional Curricula: A Systematic Review of Gaps and Opportunities
Bibliographic record
Abstract
This paper reports on curriculum analysis of climate change expectations in Canada’s provincial curricula. The research is focused on curriculum policy in Canadian provinces; however, it pertains to an international audience as Article 12 of the Paris Agreement, the international treaty on climate mitigation, adaptation and finance, calls for signatories to “enhance climate change education,” and the United Nations Educational, Scientific and Cultural Organization (UNESCO) have called for environmental education to be a core curriculum component by 2025, which will require all countries to evaluate and improve their curricula globally. Curriculum policy within Canada has not yet been aligned with these policy calls, and our analysis showed fractured and uneven inclusion of climate change. Data findings present explicit climate change education curriculum expectations for each province according to grade, subject, and mandatory versus elective courses. The review shows uneven inclusion of climate change topics, themes, and units within grade 7 – 12 curricula, with most expectations occurring in elective senior secondary courses. A second level of analysis with a ranking tool indicates shallow inclusion. The paper concludes with recommendations for addressing gaps.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".