Bibliographic record
Abstract
Once the second-largest steam locomotive builder in the U.S., American Locomotive Company (Alco) produced 75,000 locomotives, among them such famous examples as the 4-6-4 Hudsons and 4-8-4 Niagaras built for the New York Central, and the 4-6-6-4 Challengers and 4-8-8-4 Big Boys built for the Union Pacific. Alco Locomotives is the first book to tell the full story of this company central to American railroad history—and beloved by railfans for its rich heritage and its underdog appeal. Noted rail historian Brian Solomon looks back at the founding of Schenectady Locomotive Works in 1848 and proceeds to cover that company’s merger with several smaller locomotive builders in 1901 to form Alco. Solomon describes the locomotives that made Alco’s name around the world, from the standard designs like Mikados, Atlantics, and Mallets to the more powerful and flashy post–World War I models. His detailed, richly illustrated narrative re-creates the drama of a tough, ambitious company in the American tradition—rising again and again to the demands of an ever-changing industry and economy. Solomon also covers Alco electrics (built in partnership with GE), as well as the company’s successful and quirky diesel offerings, including the RS-2 and RS-3 road switchers, FA/FB road freight units, PA road passenger diesel, and the wares of Canadian affiliate Montreal Locomotive Works. Enlivened by numerous historical photographs, modern images, curious details, and firsthand accounts, this history is a complete, fascinating, and fitting tribute to a true icon of American railroading.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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; both teacher heads agree on what is shown here.
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".