Aligning to the UN Sustainable Development Goals: Assessing Contributions of UBC Botanical Garden
Bibliographic record
Abstract
The United Nations 2030 Agenda for Sustainable Development outlines 17 goals for the wellbeing of people and the planet. The purpose of this study was to understand how University of British Columbia Botanical Garden (UBCBG) contributes to the United Nations Sustainable Development Goals (UN-SDGs) and to identify opportunities for future action. To address this, we worked across departments to assess our programs and activities against the UN-SDG 17 goals and 169 targets. The UN-SDG indicators were only used to identify potential metrics that could be consider for future tracking. The main activities of UBCBG include ex situ plant conservation, sustainability education and community engagement. Our results found that UBCBG contributes to 12 of the 17 goals and 24 of the 169 targets. The two UN-SDGs with more targets aligned to UBCBG’s activities were Goal 15—Life on Land and Goal 12—Responsible Consumption and Production. Through its partnerships with other botanical gardens, research institutions and the regional government, the Garden amplifies its work at a global, national and regional level. We are re-imagining the role of botanical gardens in an age of equity, decolonization, the biodiversity crisis and the climate emergency. Since the UN-SDGs address both nature and people, they are an appropriate framework to guide our work.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".