Modelling Economic Consequences of Climate Change Impacts on Ground Transportation in Atlantic Canada
Bibliographic record
Abstract
Transportation is one of the most important sectors of Atlantic Canada's economy.In a sense it is a backbone of the regional economy since it provides means for moving people and freight throughout the region and eventually stimulates regional economic growth and development through national and international trade.However, according to numerous studies, the region is vulnerable to climate change impacts which among other things will affect transportation infrastructure and operations.In this study, climate change impacts are analyzed with respect to the New Brunswick/Nova Scotia Transport Corridor (NB/NS TC) located in Atlantic Canada -the main trade gateway in the region that connects seaports with the North American continent.First, major climate change impacts in the area are identifi ed.Second, the best economic model to evaluate consequences of the climate change impacts is chosen.Third, using the existing literature and studies that describe future climate changes in the region, various scenarios of future challenges for the NB/NS TC are specifi ed.Finally, economic consequences of the regional climate change impacts on the NB/NS TC are evaluated.The above specifi ed consequences are imposed on a dynamic economic model and their cumulative impacts are traced over time.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".