Examining Paving Strategies for Provincial Highways Using a Pavement Management System in Alberta
Bibliographic record
Abstract
The decision on selecting a paving strategy is one of the focal points of any highway development project. Typical paving choices in Alberta include conventional asphalt concrete (AC) pavements versus full depth pavements, staged paving versus non-staged paving, and in terms of pavement rehabilitation, functional treatment versus structural overlays, etc. Collectively these decisions have profound impacts on the long term condition of the highway network and on the funding requirements for the development and maintenance of the transportation infrastructure. Relative to these impacts, this paper studies the sensitivity of the paving options from the network level pavement management point of view. The key economic indicators used in the study include construction and maintenance costs, which are to be evaluated in a life-cycle analysis. The findings are expected to provide supports to selection of future paving strategies under Alberta’s fast-moving economy. BACKGROUND Alberta is a province situated in the west part of the Canadian Prairies and to the east of
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".