Lessons learned about the impacts of size and weight regulations on the articulated truck fleet in the Canadian prairie region
Bibliographic record
Abstract
Three highway engineering policies directed at improving truck productivity by increasing size and weight limits have been implemented in the Canadian prairie region within the last 35 years: the 1974 Western Canada Highway Strengthening Program, the 1988 Roads and Transportation Association of Canada Memorandum of Understanding on Heavy Vehicle Weights and Dimensions, and special permitting of longer combination vehicles. As policies change, the trucking industry adjusts its fleets to take advantage of available efficiencies. Evidence of these changes and the lessons learned from the adoption of these policies are provided. Ultimately, as a result of these policies, articulated trucks now carry heavier and larger payloads, have different axle configurations, and have higher axle weight limits than they did 35 years ago. The threefold to fivefold increase in articulated truck volumes that occurred during this period would have been more dramatic had these policies not been implemented. Further research is necessary to understand the interactions among policies, vehicles, and infrastructure.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".