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Record W7144151591 · doi:10.24545/00001756

Economic De-integration in North America and Foreign Direct Investment from Japan

2020· report· en· W7144151591 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2020
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentInvestment (military)Government (linguistics)Work (physics)

Abstract

fetched live from OpenAlex

We investigate the impact of US steel and aluminum tariffs, and the resumption of auto tariffs under the revised North American Free Trade Agreement, on trade in North America and foreign direct investment (FDI) from Japan, from the perspective of the auto industry. The results of policy simulation analyses with a recursive dynamic computable general equilibrium model are as follows. Canada and Mexico would benefit from US steel and aluminum tariffs, being alternative trade partners with both the US and other countries. Due to the auto tariffs on intra-North America exports, Canada and Mexico would lose a large part of the windfall benefits from the US steel and aluminum tariffs. Japan’s FDI in Canada and Mexico would fall sharply. The more de-integrated North American economies become, the more Japan would regain its auto production, although at a painful cost in terms of welfare. That negative welfare impact would be neutralized by abolition of auto tariffs with 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.030
GPT teacher head0.274
Teacher spread0.245 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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