Swartz Bay Ferry Terminal, Berths 4 & 5, Standardization & Rebuild
Bibliographic record
Abstract
BC Ferries (BCF) operates one of the largest ferry fleets in the world, with 35 vessels servicing 47 terminals. Vessels in the BCF fleet vary widely in size, shape, and age, posing considerable operational challenges for the terminals in terms of their ability to accommodate the widest range of vessels possible. The Swartz Bay Ferry Terminal in Sidney, BC, Canada, is one of the busiest terminals in the BCF system, providing links to the mainland and the southern Gulf Islands. At Swartz Bay, Berths 4 and 5 had approached the end of their useful life span and needed to be replaced. In February 2010, BCF commissioned the development of a standardized berth concept as a proactive approach to improve the vessel-berth interoperability across the BCF system and to accommodate their existing and future vessels. The intent was to standardize the basic layout to ensure the maximum degree of vessel-terminal interoperability, while still allowing for sufficient flexibility to adapt the concept to best suit the local harbour conditions. This paper discusses the development of the "Standardized Berth" concept, including the key characteristics and challenges for the berth and ramps to accommodate almost the entire fleet of BCF's minor and intermediate vessels, ranging from the 450-tonne (496 short tons) Klitsa to the 3,420-tonne (3,770 short tons) Island Sky. The Swartz Bay Berth 4/5 project was the first to apply the principles of the Standard Berth concept. The design featured two integrated pontoon/wingwall berths, guide and breasting dolphins with parallel motion fenders, hydraulically operated vehicle ramps and supporting vessel utilities. This paper also discusses the major innovative design elements of the Swartz Bay Berth 4/5 facilities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.013 |
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".