Experimenting the Sustainability Transition in Montreal Laneways: The Nos milieux de vie ! Case Study
Bibliographic record
Abstract
Climate change results from persistent problems, the solving of which calls for innovative approaches. Transition experiments attempt to do just that. The goal of this paper is to present the experimentation project Nos milieux de vie !, carried out in Montreal by the non-profit organization Solon and the UQAM Research Chair on Sustainability Transitions, as well as to elucidate the results obtained during the first phases of the project and the methodological adaptations made over the course of the transition experiments. Our descriptions of the Nos milieux de vie ! project alongside a presentation of results achieved one year into the project have allowed us to identify four principal learnings concerning the crucial role of Solon as a mediator; the existence of diverse temporalities within the project; the importance of adapting to the demands and needs of participants; and the existence of social drivers of sustainability transitions.
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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 | 0.024 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".