TRADE AND DECENT WORK IN MEXICO´S AUTOMOBILE SECTOR: THE ROAD TRAVELLED AND THE UNCHARTERED TERRITORY AHEAD, 2005-2019.
Bibliographic record
Abstract
The North American Free Trade Agreement (NAFTA) marked a turning point in Mexico's economic landscape by granting the country privileged access to the markets of Canada and the United States. This unique advantage triggered a substantial increase in Mexico's exports of manufactured goods, with a particular focus on the automotive industry. The subsequent replacement of NAFTA with the United StatesMexico–Canada Agreement (USMCA) further deepened this trading relationship. Despite the automotive industry's remarkable export performance, this prosperity has not translated into a commensurate dynamism in employment. This research investigates the employment trends within Mexico's automotive sector, analyzing both the quantity of jobs created and the progress towards decent work conditions. It is evident that while Mexico's automotive industry plays an increasingly significant role in global value chains (GVCs), it remains somewhat isolated from domestic producers. This isolation contributes to the industry's inability to catalyze robust growth in other domestic sectors, despite its export-driven success.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".