A Multi-Dimensional Sustainability Plan for Expressway Asset Preservation, Safety and Quality of Life
Bibliographic record
Abstract
The City of Hamilton, Ontario, is constructing an Expressway, which includes a number of subcomponents that must be considered if social, environmental, and financial benefits are to be maximized and costs minimized. The City evaluated the Expressway’s life-cycle requirements at the beginning of its life to ensure availability of sufficient long-term funding for this important infrastructure asset. A portion currently under construction is in an environmentally sensitive area. As such, the City has not only committed to long-term management of a significant transportation corridor, but to maintenance of this natural habitat. The City reviewed the sustainable funding requirements to efficiently manage these assets over a 100-year period. The resulting multi-dimensional sustainability plan offers a range of maintenance, rehabilitation, and reconstruction options, and preliminary budgetary envelopes. Environmental issues were also identified that must be considered as part of the ongoing management of these assets. This paper gives an overview of the unique nature of the Expressway and the developed
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".