Wave run-up contributions to coastal flood hazards in New Brunswick
Bibliographic record
Abstract
New Brunswick's coastal communities and civil engineering systems are vulnerable to flooding associated with tides, extreme storm surges and wave events. Coastal flood hazards and risks are projected to increase over time, as a consequence of urbanization and climate change effects. The province's Coastal Flood Hazard Mapping project aims to develop new maps for approximately 2,270 linear kilometers of the New Brunswick coast. A regional wave run-up study was conducted to characterize storm wave contributions to coastal flood hazards. Representative extreme wave run-up heights were evaluated for 614 zones along the New Brunswick coast. Zones were identified and classified according to extreme water level characteristics, wave exposure, shore type and gradient. The study involved statistical analyses of offshore wind and wave hindcast data, numerical wave transformation modelling to evaluate nearshore extreme wave conditions, and a systematic approach to calculating extreme wave run-up heights for each zone. Nearshore extreme wave parameters and run-up height data from the study will be incorporated in a publicly accessible, web-based map application, which will inform coastal flood risk management and climate change adaptation efforts in New Brunswick.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".