Sensitivity Analysis to Assess the Impact of Truck Weight Reform on Bridge Network Costs
Why this work is in the frame
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Bibliographic record
Abstract
A major objective of the North American Free Trade Agreement (NAFTA) is the harmonization of truck weight standards among the three nations (United States, Canada, and Mexico) that are partners to the agreement. Prior assessments on the impact such a change would have on bridge-related costs in the US have relied on a single, conservative parameter (threshold overstress criterion) that is inconsistent with actual practice, a fact that limits the usefulness of the resultant cost estimates. This paper utilizes data from the National Bridge Inventory (NBI) in a sensitivity analysis that demonstrates a wide range of costs depending upon the threshold level employed. The notion of an optimal threshold level that minimizes bridge costs is defined conceptually. The overstress criterion is hence a critical parameter in studies of this type, a finding that should be a key consideration in future policy decisions regarding truck weight reform.
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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 | 0.013 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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