Aligning Manitoba's Sustainable Development Legislation with the 2030 Agenda
Bibliographic record
Abstract
The Climate and Green Plan Act [CGPA] is Manitoba’s current sustainable development legislation; however, the CGPA does not effectively advance sustainable development as envisioned in the United Nations 2030 Agenda for Sustainable Development [2030 Agenda]. This paper provides an overview of what sustainable development is, a history of Manitoba’s attempts at implementing sustainable development, as well as the history of the 2030 Agenda. This background provides context for the recommendations made in this paper for advancing sustainable development in Manitoba. The central recommendation is that Manitoba should enact provincial legislation that aligns with the 2030 Agenda. The new statute should reference both sustainable development and the 2030 Agenda in its title; update the definition of sustainable development to include the “5Ps” (people, planet, prosperity, peace, and partnership); and mandate a strategy that explicitly states how Manitoba will meet the 17 Sustainable Development Goals [SDGs]. Manitoba should also use a consistent definition of sustainable development in all relevant provincial legislation. These recommendations will better align Manitoba’s sustainable development legislation with Canada’s international commitments. This paper makes two contributions to existing literature. First, it provides an updated summary of Manitoba’s history of sustainable development legislation and policies. The most recent summary was published over ten years ago. Second, it provides examples of how the 2030 Agenda can be localized at the provincial level.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".