An examination of the factors affecting international container traffic
Bibliographic record
Abstract
The objective of this study is to examine the factors affecting international container traffic, with special reference to the Port of Vancouver. In order to achieve this objective, a number of topics are examined. First, background information about West Coast container ports and trade flows and patterns of economic activity are provided. This is followed by an examination of the transportation system concept and by a presentation of important characteristics of current container ports. Then, the economics of container vessel size are discussed. The present institutional frameworks in Canada and in the United States are examined, followed by an examination of current trends of shipping services that may have an impact on container movements through the West Coast. Some of the factors that are relevant to shipping lines when assessing different route configurations are identified and a computer model is used to evaluate the attractiveness of two different configurations involving ports in the Pacific Northwest. The sensitivity of route choice to different parameters is examined. Finally, general conclusions are presented. It is suggested that the development of sophisticated intermodal services in the United States may have an important impact in the routing of Canadian cargo through American ports; the trend towards an increase in vessel size is also a factor that favours the concentration of services through the United States.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".