Canadian International: The Making of One Transportation Company's Global Strategy
Bibliographic record
Abstract
Canadian National Railway Co. is expanding its rail network and also adding new services such as freight forwarding and logistics to its business offerings. With its purchase in 1998 of Illinois Central Corp., it became the only rail network in North America to connect three coasts: the Pacific, Atlantic and Gulf of Mexico. Since then, it has expanded and improved its intermodal service with its Intermodal Excellence (IMX) program, which uses precision railroading, regularly scheduled trains that leave at predetermined times, to draw new customers. The ports of Vancouver, Halifax and Montreal and their connections to the U.S. Midwest are core territories for IMX. Now Canadian National has created CN Worldwide, which links the rail network to European and, more recently, Asian markets. CN now has offices in major Chinese port cities, with some 100 employees around the world in its supply chain/integrated transportation services company. It has also stepped up its investment in warehousing and transloading facilities with a new center at the new Port of Prince Rupert in Prince George, B.C.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.036 | 0.009 |
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".