RAILROAD CROSSINGS: THE TRANSNATIONAL WORLD OF NORTH AMERICA, 1850-1910
Bibliographic record
Abstract
The last quarter of the nineteenth century is often referred to as the “Golden Age” of railroad building. More track was laid in this period in North America than in any other period. The building of railroads was considered synonymous with nation building and economic progress. Railway workers were the single largest occupational group in the period and among the first workers to be employed by large-scale, corporately owned and bureaucratically managed organizations. While there is a rich historiography regarding the institutional and everyday lives of railway workers and the corporations that employed them, the unit of analysis has been primarily bounded by the nation. These national narratives leave out the north-south connections created by railroads that cut across geo-political boundaries and thus dramatically increasing the flows of people, goods and services between nations on the North American continent. Does the story change if viewed from a continental rather than national perspective? Railroad Crossings tells the story of the people and places along the route of the Grand Trunk Railroad of Canada between Montreal, Quebec and Portland, Maine and the Atchison, Topeka and Santa Fe Railroad (and later of the Southern Pacific) between Benson, Arizona and Guaymas, Sonora. The study first takes a comparative view of the cross-border railroad development followed by a consideration of emerging patterns and practices that suggest a broader continental continuity. The evidence demonstrates that this broader continental continuity flows from the application of a certain “railroad logic” or the impact of the essence of railroad operations that for reasons of safety and efficiency required the broad standardization of operating procedures that in many ways rendered place irrelevant.
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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 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".