Identifying and Addressing Gaps for Resilient Infrastructure: A Case of Combined Stormwater Systems
Bibliographic record
Abstract
This paper presents the preliminary findings of an ongoing study to evaluate the combined sewer stormwater infrastructure of a medium sized municipality in Ontario, Canada, using the previously developed and tested functionality-survivability-sustainability (FSS) framework. Many cities in Canada have implemented asset management programs to improve their infrastructure renewal decisions and to better direct their resources, but conventional asset evaluations do not incorporate the emerging issues of resiliency and sustainability facing modern infrastructure. These omissions create a gap in understanding infrastructure needs and impacts in a comprehensive manner. The FSS defines resource minimization, public health, and change management (RPC) as the main criteria for evaluating the system. A detailed guide has been developed to score and evaluate various indicators based on multicriteria assessment. By conducting an integrated assessment of the combined stormwater system in the study area, this paper identifies opportunities for improving infrastructure operation, resiliency, and sustainability.
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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".