ENABLERS OF CHANGE : C&S, TELECOM EXECS RETHINK BUSINESS PRACTICES, PURSUE PARTNERSHIPS AND TAP TECHNOLOGY TO PROMOTE RAIL PROGRESS
Bibliographic record
Abstract
An examination of the changing roles and responsibilities of railroad communications and signaling departments. Deregulation under the 1980 Staggers Act has meant that departmental budgets are no longer cyclical, and that projects must demonstrate they will produce benefits in proportion to their cost before getting approval. The first response was to increase productivity, reducing the number of people needed to sign off on a project and cutting overhead. Canadian Pacific Railway cut its staff nearly in half and yet the department is more productive, as employees are given the leeway to make more decisions on their own. They have also improved their communication with other departments, enabling collaboration and cost saving. Major Class Is are using Six Sigma, a quality-control process, to develop ways to achieve reliability levels of 99.99 percent. Among the events targeted for analysis are hump yard and train delays caused by defect detector malfunctions. CN is forming a partnership with Siemens Transportation Systems, Inc., to develop a rail traffic control system jointly, as part of North American railroads' efforts to gear up for wireless operations. Cost-saving strategies are also important, such as using wind generators to power remote sites that utilities companies say are too costly to provide with landline service.
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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".