Increasing knowledge and trust to overcome barriers to green infrastructure implementation: a Vancouver case study
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
This paper presents a case study of the obstacles to green infrastructure implementation in the City of Vancouver. This case study has two aims, 1) to better understand the planning and decision-making processes hindering the widespread implementation of green infrastructure across the City of Vancouver, and 2) propose solutions to facilitate the uptake of GI. This paper begins by reviewing existing literature on barriers to green infrastructure implementation. Then, it investigates current perceptions of GI in the City of Vancouver, and what barriers exist to its implementation through document analysis and semi-structured interviews. Proposed solutions to green infrastructure implementation are reviewed and recommendations are provided for the City of Vancouver. It ends with a short discussion on the applicability of lessons learned from the study of Vancouver for other municipalities seeking to overcome barriers to green infrastructure implementation.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it