CLIMATE CHANGE IMPACTS ON COASTAL HAZARDS IN NEWFOUNDLAND AND LABRADOR, CANADA
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
Newfoundland and Labrador, situated on the eastern coast of Canada, is particularly susceptible to the adverse effects of climate change. Increasing sea levels, intensifying storm events, and shifting weather patterns have led to profound alterations in coastal dynamics, posing significant threats to the region's communities, infrastructure, and natural ecosystems. Coastal erosion, inundation, and storm surge have become pressing concerns, necessitating a comprehensive analysis of these challenges. Our study employs numerical modeling tools to simulate wave and surge dynamics in the context of climate change. By considering historical data and incorporating climate projections, we assess how changing environmental conditions influence coastal hazards. Robust wave climate projections should consider uncertainties in climate modelling by using a multi-model ensemble (Knutti et al. 2010) and considering different socio-economic pathway scenarios (SSPs). Therefore, we developed a methodology which allows for easily expanding the number ensemble members and climate scenarios using limited computational resources.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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