A method-based survey of life cycle costing literature pertinent to infrastructure design and renewal
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
Motivated by Canada's infrastructure crisis, the Intelligent Sensing for Innovative Structures (ISIS) Canada Research Network has developed and demonstrated the efficacy of innovative materials and monitoring technologies to support infrastructure design and renewal efforts. To quantify the potential benefits of these technologies across a diverse range of infrastructure applications, a rational, pragmatic and flexible method of life cycle costing (LCC) is needed. The purpose of this paper is to review and broadly classify LCC methods evident in pertinent literature. Through this process, a state-of-the-art LCC method is identified and described. Its noted strengths and limitations suggest promising avenues for future research.Key words: life cycle cost, infrastructure, design.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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