Organizational Culture and Radical Technological Change: The Railway Locomotive Industry During the Twentieth Century
Bibliographic record
Abstract
Beginning in the 1930s, North American railroads began replacing their steam locomotives with diesels at an ever-accelerating rate. Established steam locomotive producers, most notably the American Locomotive Company and the Baldwin Locomotive Works, proved incapable of dealing with this radical technological discontinuity. As successful steam locomotive manufacturers, these firms developed a corporate managerial culture that was not only linked closely to steam locomotive technology; it also embodied the fundamentals of small-batch custom manufacturing. More successful competitors, such as Electro-Motive (later a division of General Motors), developed a corporate culture amenable to both diesel locomotive technology and the standardized near-mass-production techniques that made diesel production efficient and profitable. Electro-Motive executives understood that railroad customers increasingly valued performance characteristics (flexibility, lower operating costs) best fulfilled by diesels, while steam locomotive producers continued to concentrate on the outdated characteristics (horsepower, low initial cost) of steam locomotive technology.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".