Confederation Bridge: Air Pollutant Emissions Study of the Confederation Bridge and the Prince Edward Island Ferry
Bibliographic record
Abstract
The Confederation Bridge has been in operation for 10 years. It is now, looking at the performance of the completed project, that the functional value can be assessed. The efficiencies offered to the movement of goods, services, and people are readily apparent. It is the environmental benefit offered by the bridge infrastructure over the ferry system that it replaced that is not so obvious. An environmental consulting agency has calculated that: vehicles using the Confederation Bridge consume 1/10th the fuel that the ferry service would have consumed to transport the same vehicle across the Northumberland Strait; annually, replacing the ferry with the bridge saves more than 16 million litres of fuel, and ; replacing the ferry service with the bridge is resulting in a reduction of greenhouse gas emissions of more than 40,000 tonnes per year. This project was nominated for the 200 TAC Environmental Achievement Award.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".