MétaCan
Menu
← Back to cohort
Record W617718593

Canada's road transport context: institutions, issues, and speculation

2007· article· en· W617718593 on OpenAlexaboutno aff
Jackie Robinson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Work (physics)SpeculationClosing (real estate)Strengths and weaknessesRelevance (law)Regional sciencePolitical scienceDistribution (mathematics)Public administrationBusinessEngineeringSociologyGeographyFinance
DOInot available

Abstract

fetched live from OpenAlex

This paper explores Canada's working arrangements in respect of transportation engineering practices across the country. Beginning with an overview of Canada's road system and the relative constitutional responsibilities and road ownership distribution in our country, it then explores the primary sets of national standards and guidelines of relevance, and provides an overview of the mechanisms by which necessary national-level coordination is achieved. It then explores the two primary cooperative institutional vehicles that are used to foster coordination across the country at the national, provincial, and municipal levels. In addition to describing how these work, it also touches on some of the key strengths and weaknesses of this institutional environment. In a closing section of the paper some concluding thoughts are included, including a little speculative thinking on two major influences that appear to be emerging that may have a significant effect on Canada's current road transport institutional context. (a) For the covering entry of this conference, please see ITRD abstract no. E216297.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.159
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0150.020
Scholarly communication0.0170.006
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicCanadian Policy and Governance→French-language works237,207→