Building Bridges - Faster, Better, Safer, Under Emergency Conditions
Bibliographic record
Abstract
Nahanni Range Road in Yukon starts at km108 of the Robert Campbell Highway and leads towards Northwest Territory. Heavy rains, snow melt and the spring freshet in June 2012 wiped out culverts at three locations on Nahanni Range Road. More than 100 miners, mill workers and exploration companies were out of work due to the wash outs and a major mining company shut down operations as this was the only road link to that part of the country. The rehabilitation of the road including the river crossings became a priority. The tender package was prepared and advertised within 48 hours in response to the emergency situation. There were some unknown conditions since the road was not accessible and as a result extra work was also anticipated during construction. Many design decisions had to be made on site during construction. Contractors were informed about the upcoming tender with short closing date and as a result six companies participated in the tender. Contract was awarded to the lowest bidder. Three modular oil field type bridges were purchased from Northern Mat & Bridge Ltd to replace three washed out culvert locations. Three bridges were installed on temporary structures in about a week, and the road was opened to the public. All bridges were reinstalled on permanent structures during the next two months and have 50 years expected service life. This paper describes the project objectives, award process and details that revealed to be a cost-effective solution for Yukon Territory. For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".