Road Well-Traveled: Implications of Climate Change for Pavement Infrastructure in Southern Canada
Bibliographic record
Abstract
Relatively little research has been completed to investigate the potential impacts of climate change on pavement infrastructure despite the dependence of Canadian economic and social activity on road transport, and the documented influence of climate and other environmental factors on the deterioration of pavements. A review of pavement management practices and engineering models and approaches used to monitor, assess and predict flexible pavement performance revealed that climate - and thus potentially climate change - is an important consideration in at least three deterioration processes: thermal cracking, frost heave and thaw weakening, and rutting. Two sets of case studies were undertaken in order to investigate these generalized impacts of climate change in greater detail. The first set of case studies examined deterioration-relevant climate indicators that are routinely applied or referenced in the management of pavement infrastructure. The second set of case studies involved applying the newly developed Mechanistic-Empirical Pavement Design Guide (MEPDG) to assess the impact of pavement structure, material characteristics, traffic loads, and changes in climate on incremental and terminal pavement deterioration and performance.
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 | 0.000 | 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 itClassification
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".