ASSET LEVELS OF SERVICE-BASED DECISION SUPPORT SYSTEM FOR MUNICIPAL INFRASTRUCTURE INVESTMENT: A FRAMEWORK
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The most significant challenge facing municipalities today is a shortage of funds required to upgrade or expand aging infrastructure. A chronic lack of funding impairs a municipality's ability to maintain desired infrastructure levels of service. Over the last decade, municipalities in Canada have faced the pressures of increased complexities in infrastructure asset management decision making, which to some extent is attributed to cost escalation, increasing demand, and interdependencies between infrastructure networks. This paper presents a framework to develop an asset levels of service (ALOS)-based decision support system for municipal infrastructure funding investments. This paper focuses primarily on the allocation of funds in the maintenance, rehabilitation, and repair (MR&R) of municipal networks based on ALOS, future demand, and network interdependencies.
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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 | 0.000 | 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 it