Transportation Education Provides a Foundation and a Legacy for Advancing Asset Management
Bibliographic record
Abstract
The Transportation Association of Canada Centennial Celebration in 2014 includes a Monograph on the Evolution and Legacy of Transportation Education in Canada. Based on the Monograph the underlying theme of this paper is that transportation education and training is a vital element to creating a base of knowledge and human resource assets. Transportation education at the University level began even before the advent of the 20th Century, involving primarily railway and surveying. Over the ensuing decades influence of the modes was a factor in highway engineering becoming the core undergraduate course by 1945 after World War II. However, on-the-job training has also, continued to be a vital element. An era by era progression of education and training, from the formation of the Canadian Good Roads Association in 1914 to the mid 2010’s is described in the paper. Also described are the impacts of the TAC Guides and Manuals, the Scholarship Program and the TAC Foundation, as well as the continuing role of the Education and Human Resources Development Council. A special feature is a tribute to the “Titans” of transportation education and research. Future prospects for transportation education and training are explored in the paper, including building on the legacy, the need for innovations, influence of the modes and future delivery methods.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".