Industrialization and land use change in Mexican border cities: The case of Ciudad Juárez, México
Bibliographic record
Abstract
The maquiladora (maquila) economy has brought enormous change to Mexico's northern border region during the last few decades. Scholars have studied many aspects of the region's maquila economy, including bi‐national trade, a range of environmental issues, and social and cultural impacts arising from rapid industrialization. Few, however, have examined the relationship between industrialization and the development of urban land. We respond to this deficiency by investigating land use change in Ciudad Juárez, México, during the 1988-1993 period. Two objectives guide the research. First, we document the extent to which the maquila economy has fostered rapid population growth and employment change in Ciudad Juárez and other Mexican border cities. Second, a simple simulation procedure is used to show how growth of the maquila economy has distorted residential and commercial land development in the city. The results indicate that during the 1988-1993 period residential land in the city was “overdeveloped” while commercial land was “underdeveloped.” The results offer important clues for understanding the impacts of rapid industrialization, and for guiding urban planning efforts in Mexican border cities.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".