Regional Integration and the Automotive Industry: The Impact of NAFTA on Mexico and Canada
Bibliographic record
Abstract
This bachelor thesis deals with regional integration, with a focus on regionalism and the North American Free Trade Agreement (NAFTA), which introduced the liberalization of international trade between the United Sates, Mexico and Canada. The Thesis examines the period between 1993 and 2016. and the main topic of the thesis is the impact of the free trade agreement on developed Canada and developingg Mexico. The thesis analyzes how the implementation of NAFTA differed between Canada and Mexico. Whether the agreement had a different impact on the automotive industry in these countries and what impact it had on the workforce and investments that played an important role in the development of the automotive industry in North America. The thesis further examines how the production of the automotive industry in this region has changed, and which country has been able gain more from free market access. To answer these questions, a comparative analysis and a case study were used. These methods compare trends and developments in the automotive industry in Canada and Mexico and the impacts on the automotive industry. Based on this approach, the thesis found that NAFTA led to an increase in investment in the region, which increased automotive production. Production has shifted mainly to Mexico, which...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".