Book Review of <i>Retiring the Crow Rate: A Narrative of Political Management</i> by Arthur Kroeger.
Bibliographic record
Abstract
It was the Crowsnest Pass Agreement in 1897 between the Canadian Pacific Railway (CPR) and the federal government that came to establish the freight rate structure for export grain. When the rates were made statutory in 1925 they remained fixed until 1983, when the Western Grain Transportation Act (WGTA) replaced the Crowsnest Pass Agreement. The fixed-rail freight rate generally provided sufficient revenues for the two major railways, the CPR and the Canadian National Railway (CNR), to develop a network of branch lines of over 19,000 miles of track designed for horse and wagon technology. After 1960, when rail costs of moving grain exceeded the revenues, the two railways refused to maintain and upgrade the rail transportation system. At first the federal government with provincial government help provided subsidies to offset the railways’ losses and maintain the rail system. But by the mid-1970s the federal government, believing it could no longer continue to subsidize an overbuilt and inefficient rail system where freight rates were fixed, set in motion a series of studies and task forces eventually leading to a new set of rail transportation policies that affected freight rates and the rail network. It is the story of how the Crow Rate was changed that Arthur Kroeger recounts in this informative, entertaining, and often humorous book.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".