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The Impact of the NAFTA over the Canadian Automotive Industry throughout 20 Years

2016· article· en· W2561416620 on OpenAlexaboutno aff
Francisco Ernesto Navarrete

Bibliographic record

VenueAmericanae (AECID Library) · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsAutomotive industryFree trade agreementChinaInternational tradeProduction (economics)Value (mathematics)Order (exchange)Economic impact analysisManufacturingBusinessEconomicsEconomyFree tradePolitical scienceEngineeringMarketingFinance

Abstract

fetched live from OpenAlex

This research aims to explain the impact that the North American Free Trade Agreement (NAFTA) has had over the Canadian automotive industry since it was signed in 1994. It shows the development of the Canadian production throughout these years, from the beginning, in the early 20th century, until today; compared with those of the American and Mexican production. It also includes an explanation of the commerce with the United States of America´s market, its added-value, the trades evolution and how NAFTA countries have faced the new world economic order, focusing on the high-value manufacturing; additionally, it makes a detailed analysis of the main Canadian achievements that have been reached in the sector, and the challenges that Canada has faced as a country and as well as region. Finally the figure is compared and analyzed with the China´s manufacturing rise in these last 20 years and its impact.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.219
Teacher spread0.195 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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