The effect of freight trains on noise pollution in the British Columbia Lower Mainland
Bibliographic record
Abstract
On August 21st 2014, Port Metro Vancouver approved an increase of US thermal coal train traffic along the BNSF rail line enroute to Fraser Surrey Docks. As a result of the anticipated increase in U.S. thermal coal trains, health concerns have been expressed by our community partner, Communities and Coal, a group of citizens in the communities surrounding the BNSF rail line (Delta, White Rock, Crescent Beach and Surrey). In order to address these concerns, current noise pollution data was collected at four different sites along the BNSF rail line in 24-‐hour time intervals from the time period of November 2014 to March 2015 using an EXTECH Sound Level Data Logger. Each site was monitored twice. The observed equivalent continuous sound levels (Leq-‐16 and Leq-‐24 ) for all sites and trials are seen to exceed the 55 dBA noise guidelines (Canada Mortgage and Housing, 1981). Thus, it is likely that increases in train traffic will further escalate the sound levels beyond the current guidelines.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".