Waves of Change: A case study of Drawdown Toronto in the climate action space
Bibliographic record
Abstract
Drawdown is the future point when levels of greenhouse gases in the atmosphere stop climbing and decline steadily. Project Drawdown is a non-profit organization that seeks to help the world reach the point of drawdown by 2050 through various initiatives. Project Drawdown conducts an ongoing review and analysis of climate solutions—the practices and technologies that can stem and begin to reduce the excess of greenhouse gases in our atmosphere—to provide the world with a current and robust resource. Their framework, solutions, and resources inspire localized groups and empower communities to come up with solutions that can be implemented regionally. \n \nOur research addresses the following primary questions: \n \nWhat are the climate challenges that need to be addressed in the next ten years? \nHow can we engage key stakeholders to implement actionable climate change solutions? \nWe looked at Project Drawdown and the local chapter of Drawdown Toronto as a case study in the climate action space. Our research culminated in a service design brief and synthesis map presenting a high-level overview of key systems models, our findings, and strategic recommendations. The full report and map were presented to Drawdown Toronto, which plans to use the information to inform its future strategy. \n \nThe map is best read from left to right. The main visual feature, and the inspiration for our title, is the three-horizon map that outlines current climate challenges in the first wave, elements of an ideal future in the last wave, and areas for proposed strategic interventions in the middle wave. While providing extensive insights, it also acts as a quick reference tool presenting a big-picture look at climate change as a wicked problem. \n \nThe first section on the top left provides an overview of Project Drawdown as an organization. Next, in Framing the System, we used an iterative inquiry tool to flesh out the function, structure, process, and purpose at each level and how they relate and feed into each other. To the right are casual loop diagrams that outline common archetypes in the system. In Uncovering Challenges, we identified key challenges in the climate action space and mapped their influence on each other from the bottom to the top, deriving key insights. Lastly, the Transition by Design approach identifies the key action areas and proposes recommendations for Drawdown Toronto’s future strategic initiatives at the micro, meso and macro levels.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".