Development of a Pavement Degradation Fee Structure for the City of Toronto
Bibliographic record
Abstract
Utility cuts contribute to a reduction in overall service-life of pavements. This results in an additional financial burden of costly rehabilitation and maintenance work by municipalities to maintain prematurely deteriorated pavements. Cities are allowed to recover the costs they incur as a result of allowing utility companies to use its roads to install their distribution systems. The City of Toronto, faced with this dilemma, decided to recoup such costs by developing a fair pavement degradation fee structure that is technically justified and legally defensible. The paper will discuss the following topics: - Background and terms of reference for the pavement degradation fee study - The experimental design - Quality assurance measures that guaranteed reliability of field information gathered - The statistical tests that were used to identify impacts - The economic evaluation undertaken to estimate the value of the impacts - The development of the pavement degradation fee structure. The paper presents the final fee structure and a quick comparison with other jurisdictions' charges with explanations of potential differences. (A) For the covering abstract of this conference see ITRD record number 201310RT334E.
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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".