COLLABORATIVE LIVING LABORATORIES TO INFORM CANADIAN DESIGN GUIDANCE FOR COASTAL NATURE-BASED SOLUTIONS
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
Nature-based solutions (NbS) have been widely applied for managing coastal flood and erosion risk (Bridges et al. 2021). However, they are underutilized in Canada, owing to a variety of factors including, e.g.: (i) uncertainty surrounding the performance of different nature-based solutions across Canada’s diverse coastal climates, geographies, and land uses; and (ii) the lack of authoritative, regionally appropriate design guidance (Vouk et al. 2021). The Nature-based Infrastructure for Coastal Resilience and Risk Reduction project is bringing together a multi-disciplinary team of Canadian researchers, practitioners, and community leaders to develop an improved understanding of the performance of nature-based shore protection systems in diverse Canadian coastal environments. The project involves conducting synchronized and coordinated parallel research activities – laboratory experiments, field monitoring, and numerical modelling – centered on multiple pilot sites along Canada’s Pacific and Atlantic coasts.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it