MétaCan
Menu
Back to cohort
Record W2796033311 · doi:10.1177/0361198118758295

Assessment of Canada’s Transportation System under the Comprehensive Economic and Trade Agreement

2018· article· en· W2796033311 on OpenAlexafffundabout
Mahyar Jahangiriesmaili, Matthew J. Roorda, Chris Bachmann, Rupert Allen

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsCanadian HeritageGovernment of CanadaUniversity of WaterlooUniversity of Toronto
FundersMinistère des TransportsInnovation, Science and Economic Development Canada
KeywordsComputable general equilibriumParliamentEuropean unionCommodityTruckInternational tradeEconomic impact analysisTrade agreementBusinessGovernment (linguistics)EconomicsInternational economicsEngineeringFinanceFree tradePolitical science

Abstract

fetched live from OpenAlex

Canada signed the Canada–European Union (EU) Comprehensive Economic and Trade Agreement (CETA) in October 2016, which was later ratified by the European Parliament in February 2017. This agreement enables Canadian establishments to trade openly with EU members. Despite the Canadian government’s economical analysis, no study has been undertaken to investigate the impact of CETA on Canada’s transportation network. The objective of this paper is to assess the potential impact of CETA on the Canadian transportation network by estimating origin–destination trade flows, mode shares, and transportation flows before and after the agreement. Annual provincial commodity flows are obtained from a computable general equilibrium model. Mode shares are determined based on US commodity flow survey data. Finally, changes in freight flows by the rail and truck modes as a result of CETA are examined. The model results indicate an increase in freight movement to and from Eastern Canada and a decrease in trade movement near the US–Canada borders and Western Canada.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.007
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.081
GPT teacher head0.394
Teacher spread0.313 · 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 designObservational
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

Citations1
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueTransportation Research Record Journal of the Transportation Research BoardSame topicTransportation Planning and OptimizationFrench-language works237,207