Development of an Environmental Management Tool - MTQ Roadway Projects and the Environment
Bibliographic record
Abstract
The construction and maintenance of transportation infrastructure has the potential for significant impact on both the natural and human environment, and management of these activities is a highly complex endeavour. In keeping with its commitment to sustainable development, the ministere des Transports du Quebec (MTQ) has produced a guidebook bearing the title L'environnement dans les projets routiers du ministere des Transports du Quebec (MTQ Roadway Projects and the Environment - The Guidebook) as an environmental management tool to ensure a more efficient integration of environmental considerations in the roadway infrastructure project planning process. The distribution of this Guidebook to private sector design firms, municipal civil servants and other government officials, contractors and construction supervisors will contribute to protecting and enhancing the environment, as it includes numerous field-tested methods and techniques having previously obtained the requisite environmental approvals. This guidebook is destined to become the primary training manual for current personnel and the next generation of roadway designers and builders. This document was originally published in French in the Transportation Association of Canada (TAC) 2009 Annual Proceedings as Outil de gestion environnementale - l'environnement dans les projets routiers. The English translation was provided by the authors.This paper was nominated for the 2008 TAC Environmental Achievement Award.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".