Tracks, Tunnels and Trestles: An Environmental History of the Construction of the Canadian Pacific Railway, 1883-1885
Bibliographic record
Abstract
The construction of the Canadian Pacific Railway (CPR) was not a conquest of man over nature as some historians have suggested and the driving of the last spike did not cement that victory. By studying the CPR from an environmental perspective, it becomes obvious that the relationship between the people and the environment in the mountains was two-fold: workers had an effect on the environment through fires, deforestation, excavation, and blasting, and the environment likewise had an effect on workers through the hardships of weather, challenging terrain, avalanches, and floods. Shortcuts, such as steep grades and wooden bridges, taken by the CPR throughout construction to save money and time, as well as the poor route choice, had unintended consequences for the operation of the railway. Massive deforestation and fires had repercussions for the watershed of the eastern Rocky Mountains and the choice of Rogers Pass meant that the CPR had to deal with numerous avalanches and deep snow. Steep grades and lines that were easily flooded or open to avalanches resulted in the deaths of numerous workers and expensive repairs to engines and the track. The construction of the CPR also had a notable impact on western Canada as it opened up the land to tourism, settlement, agriculture, and the lumber and mining industries. In building and operating the line, the CPR had to learn to adapt to the environment in order to carry out repairs quickly and get trains through.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".