Bibliographic record
Abstract
ABSTRACT This article is an analysis of VIA Rail and its relationship with the federal government. Canada's publicly‐owned intercity passenger rail service is in a state of slow and steady decline, best illustrated by its small and falling user rates, and despite receiving significant subsidies, the federal government is indifferent to the needs of this transportation provider. Unlike other Canadian state‐owned enterprises, or Crown corporations, VIA Rail has been neither privatized nor modernized and, instead, is languishing as a publicly‐owned firm. While the current Conservative government of Stephen Harper favors a smaller role for the state, and it has both set about modernizing and eliminating other Crowns, it has not followed such a course with VIA Rail. Drawing on John Kingdon's (1984) multiple streams model to outline the empirical data as well as to illustrate how this firm interacts with its political superior, it will argue that the indifference towards this firm is due to both the specific characteristics of VIA Rail and the highly centralized decision‐making structure of Canada's Westminster Parliamentary system. Unless the federal government decides to implement fundamental organizational and governance changes at this firm, Canadians will continue to be served by a marginal rail service provider.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".