The Life and Death of North American Rail Freight Electrification
Bibliographic record
Abstract
Although completely dieselized today aside from certain commuter and intercity passenger routes, U.S. railroads were world leaders in electrification in the early 20th century. The Pennsylvania Railroad and the Milwaukee Road had the most extensive electrifications, but several other railroads electrified largely for freight service. This paper explores the decisions to electrify freight railroads in the U.S., Canada, and Mexico (largely for short tunnels where steam locomotives were not practicable, mountain grades, and busy traffic districts), and why electrifications were discontinued (underpowered installations, aging electric infrastructure, and changes in ownership that made electrification geographically obsolete). Energy shortfalls and price spikes since the 1970s have provoked interest in electrification from freight railroads, but this interest has subsided whenever fuel prices decline. Although it is possible that environmental considerations may lead to electrification in some contexts, as long as fossil fuel prices remain low, electrification is unlikely to play a major role on North American railroads.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".