Traffic Separation Scheme Feasibility Study
Bibliographic record
Abstract
Southern Resident Killer Whales are endangered and face three key threats to their survival: prey availability, physical and acoustic disturbance, and contaminants. In an effort to mitigate the threat of physical and acoustic disturbance, Transport Canada has worked with an external contractor over the last two years to assess the feasibility of making changes to the Traffic Separation Scheme, as a potential way to reduce physical and acoustic disturbance from vessels in southern BC coastal waters. The goal of the project was to assess and recommend options to amend the TSS that balance the protection of the Southern Resident killer whale population with other factors, including marine safety and use, environmental, socio-economic, and cultural. The study included several rounds of engagement with stakeholders and partners. Based on input from engagement, a number of potential options were developed. These options were analyzed by using both modeling and decision support tools, considering safety and other factors, along with beneficial impact to the SRKW. A final report is expected in the coming months and findings can be shared in this presentation. This study is part of a larger strategy to reduce physical and acoustic disturbance from vessels and work towards protection and recovery of Southern Resident Killer Whales, creating a quieter future for whales in the Salish Sea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 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".