Bibliographic record
Abstract
Century-old bridges may seem functionally obsolete, but their historical relevance should not be lost on the professionals managing these wonderful structures. Two components of heritage are of interest to the London, Ontario engineers who maintain these structures: their purpose, place in time and local relevance; and, their technical engineering heritage reflected by patents and design methods of the day. London's early steel and wrought iron truss bridges are being considered for preservation, enhancement and a continued life. Their future is being assessed with a heritage component built into standard bridge management methods: infrastructure lifecycle planning; expansion and capacity growth planning; environmental assessment studies; and, risk assessment. Bridge managers and engineers have approached the remnants of London's Victorian era of bridge construction in a pragmatic way, taking advantage of heritage documentation and local community input to provide context for design objectives. Consequently, unique features have emerged that transform the timeworn into the revitalized. The project approaches, design features and outcomes are quite varied in four recent London examples. London's achievements on older bridges have been recognized with an award from the Architectural Conservancy (London Regional Branch) and the Heritage London Foundation for its outstanding contribution made to the preservation of London's built heritage. For the covering abstract of this conference see ITRD record number 201211RT334E.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".