Automotive global value chains in Mexico: a mirage of development?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International monetary organisations argue the ‘developing countries’ should foster linkages to the world economy as a means to overcome backwardness. In this article we refute the narrative that Mexico has experienced industrial upgrading. Rather, industrial growth in Mexico over the last 40 years has been shaped by neoliberal economic policies which have turned the Mexican economy into an export-led manufacturing platform designed to supply the North American market, sustained by a precarious labour market. As a result, Mexico occupies the most labour-intensive and low value-added segments of regional production chains. To make this argument, we perform an in-depth analysis of the Mexican automotive industry, demonstrating that instead of being an engine for domestic industrial development, the auto industry has become a dominant economic sector through productive hyper-specialisation concentrated in the northern Mexican border states, a reliance on transnational capital, particularly from the United States, a disconnect with domestic markets, and the super-exploitation of labour.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it