Greener Small Cities: Deploy Environmental Action Faster and Smarter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
How might we support small Canadian cities (1k-100k) to become greener and smarter in a way that prioritizes deliberate and proportional action whilst accounting for their unique composition? \n \nGreener Small Cities: Deploy Environmental Action Faster and Smarter, was built to support those in charge of climate action at the municipal level of small Canadian cities with strategy, systemic, and foresight tools. The first half of this report explores the theory surrounding environmental action and smart technologies within a Canadian context. Action is the focus of the second section. We’ll walk readers through the steps of building a comprehensive, measurable, equitable, and effective environmental action plan of their own, or revamp the one they currently have in place by learning how to include and manage stakeholders, decide on a vision, set strategic pillars, strategies, and strategic actions, envision future states, leverage data, secure funding, and much more.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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 it