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Record W1833025083 · doi:10.29340/21.1380

Los factores de retención de la maquila: lección de Yucatán (1995-2005)

2006· article· es· W1833025083 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmericanae (AECID Library) · 2006
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsForeign direct investmentCapital (architecture)Investment (military)Competition (biology)Political scienceState (computer science)Welfare economicsGeographyBusinessEconomyEconomicsBiology

Abstract

fetched live from OpenAlex

Este artículo examina la inversión extranjera directa en el sector industrial mexicano (bajo la forma de maquiladoras) en términos de su búsqueda de condiciones ideales para la producción de bienes de consumo y su propensión a permanecer en México, a pesar de la creciente competencia china. El estado de Yucatán, en el sureste de México, es un ejemplo de una demarcación exitosa en la retención de la mayoría de plantas industriales extranjeras. La diferencia depoder de atracción entre los territorios depende del papel desempeñado por cada estado para proveer condiciones positivas para los inversionistas y facilitar su integración en el tejido productivo de las regiones, lo que hemos llamado el desarrollo de un distrito industrial

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.007
GPT teacher head0.199
Teacher spread0.191 · 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