Canadian STARS-Rated Campus Sustainability Plans: Priorities, Plan Creation and Design
Bibliographic record
Abstract
The use of integrated sustainability plans is an emerging trend in higher education institutions (HEIs) to set sustainability priorities and to create a work plan for action. This paper analyses the sustainability plans of 21 Canadian HEIs that have used the Sustainability Tracking, Assessment and Rating System (STARS) from the Association for the Advancement of Sustainability in Higher Education (AASHE). The plans were coded thematically with a focus on the sustainability goals, process of plan creation, and aspects of plan design outlined in the texts. This paper finds that sustainability goals focused on the environmental aspects of sustainability, while social and economic aspects were less emphasized. Further, most plans were described as being created through a broad stakeholder-consultation process, while fewer plans assigned timelines and parties responsible to sustainability goals. This paper contributes to our understanding of the priorities of Canadian HEI institutions at the end of the Decade of Education for Sustainable Development and is useful for practitioners interested in developing their own sustainability plans.
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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 | 0.027 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".