MétaCan
Menu
Back to cohort
Record W2527380607

A New Train of Thought: The Dynamics and Inherent Politics of Rail Freight Transportation in Canada

2015· article· en· W2527380607 on OpenAlexaboutno aff
Nanno Mulder, Paul Toner, P. A. Cartwright

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Government (linguistics)Tertiary sector of the economyPoliticsPublic sectorPrivate sectorService (business)Public policyBusinessRegulatory reformIndustrial organizationEngineeringEconomicsRegional scienceEconomyPolitical scienceEconomic growthMarketingMarket economySociology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to summarize the origins, status and results of key railway regulatory and service changes and to suggest future priorities. It includes a retrospective analysis of railway regulatory changes and sector performance in Canada over the past seven decades and of critical performance improvements. These improvements, coupled with and supported by government policy changes, enabled new rail sector growth and provided important context for another section of this paper – a forward-looking discussion on “what next?” - for the rail industry in Canada, from both a public and private sector perspective. While progress has been made, the paper identifies a number of issues and challenges which may impact negatively on the rail sector’s future potential growth and hinder continued expansion of new trade opportunities and service improvements for shippers.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0190.019
Scholarly communication0.0180.004
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.018
GPT teacher head0.187
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicTransport and Economic PoliciesFrench-language works237,207