Climate-resilience of dams and levees in Canada: a review
Classification
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".
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
Abstract Increasing frequency and intensification of flooding pose significant threats to critical structures, such as dams and levees. Failure of these structures can lead to substantial economic losses and significant adverse environmental and social consequences. Improving the resilience of these structures against climate-related impacts is important to avoid future risks of failure due to the potential intensification of flooding. National-level guidance on integrating resilience-based frameworks and addressing climate risks and uncertainties in existing design flood estimation methodologies for dams and levees are lacking. To address these gaps, this study first reviews projected climate change patterns for Canada and then discusses regional vulnerabilities of dams by considering significant historical floods and their consequences. Subsequently, a review of existing design flood estimation procedures, with a focus on frequency- and probable maximum flood-based approaches, is conducted to identify areas where climate change-related aspects can be integrated. By examining the challenges associated with various stages of design flood estimation procedures, the review discusses a framework for enhancing climate resiliency of dams and levees considering four pillars of resilience. Furthermore, Canadian design flood estimation practices are compared with international practices to identify areas that require attention. The study highlights the importance of a resilience-based framework in providing design and operation guidance to ensure that dams and levees are resilient to climate impacts. Policymakers and engineers can prioritize consideration of climate-resilience in the design and operation of these structures in order to safeguard communities and infrastructure from the growing risks of future floods associated with climate change.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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