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Record W2922212557 · doi:10.33423/jabe.v20i8.213

Economic Impact of the United States withdrawal from Trans-Pacific Partnership on Canada: A Computable General Equilibrium Based Analysis

2018· article· en· W2922212557 on OpenAlexaffvenueabout
Ziad Ghaith, David Natcher, Suren Kulshreshtha

Bibliographic record

VenueJournal of Applied Business and Economics · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComputable general equilibriumGeneral partnershipEconomicsBaseline (sea)General equilibrium theoryProjection (relational algebra)Economic impact analysisInternational tradeMacroeconomicsPolitical scienceFinanceComputer scienceMicroeconomics

Abstract

fetched live from OpenAlex

This study assesses the likely economic impact of Trans-Pacific Partnership (TPP) and Comprehensiveand Progressive Agreement for Trans-Pacific Partnership (CPTPP) on Canada’s economy in 2030. Theanalysis was accomplished by building a static Computable General Equilibrium (CGE). And runningthree simulation scenarios: (i) Baseline scenario; the study developed a growth projection model tosimulate the economic and trade growth in 2030. (ii), TPP12 scenario; the study assumed that the TPPagreement would be fully implemented by 2030. (iii) TPP11 scenario; the study simulated CPTPPagreement, assuming that 11 Pacific-Rim countries do business in spite of the absence of the US.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.203
Teacher spread0.177 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2018
Admission routes3
Has abstractyes

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