Toward Achieving Local Sustainable Development: Market-Based Instruments (MBIs) for Localizing UN Sustainable Development Goals
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
In recent years, sustainable community development has gained traction for addressing local environmental, social, and economic issues. Cities worldwide are committed to implementing sustainable community plans (SCPs) in their efforts to achieve sustainable development, and more recently, to localize the United Nations’ Sustainable Development Goals (SDGs). Although there are over 1000 plans in Canada, a gap exists between creating these plans and implementing them. Integrating market-based instruments (MBIs) with traditional policy tools would help to diversify revenue generation and thus mitigate these constraints. This paper presents a new and comprehensive categorization of MBIs that aligns the locally applicable ones with the environmental aims of both SCPs and SDGs. The categorization framework has been tested through focus groups with key municipal staff from two Canadian communities. The new categorization framework aligned over 50 locally applicable MBIs with 8 different environmental topics and 12 SDGs. The paper presents a useful tool for implementing SCPs and SDGs and contributes to the understanding of MBIs for enabling local progress in sustainable development.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it