MIKE'S BIG RAILROAD : REMEMBER THE LITTLE KANSAS CITY SOUTHERN? NOW IT'S IN MEXICO, AND A TRANSCONTINENTAL PLAYER, TOO.
Bibliographic record
Abstract
This article details the expansion of the Kansas City Southern (KCS) railway from a small line to an operator with transcontinental and international ambitions. Starting in 1995, its new president Mike Haverty has stitched together different services and plans that have resulted in an Atlanta-California transcontinental corridor in partnership with Norfolk Southern and Burlington Northern Santa Fe, majority ownership of Mexico's largest railroad with the prospect of full ownership, and a partnership with Canadian National. The need to pay down debt to make the Mexico purchase possible has led to deferred investment in long-term capital projects such as switch automation and connecting up sidings on the convoluted transcontinental route. Key to its current prospects are a new Western terminal established in Dallas; an intermodal contract from Norfolk Southern, direct connections across the Mexico border and a subsidiary in Panama that allows KCS to ship freight from ocean containerships too large to pass through the canal. As KCS awaits developments from the major lines, it cultivates its presence in anticipation of making a good takeover candidate in the future.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".