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Record W7124363784

Dependencia estructural en el siglo XXI: Un análisis de participación y cambio del empleo en Ciudad Juárez

2025· article· es· W7124363784 on OpenAlexaboutno aff
Felipe Isaías Galán Uribe, Luis Enrique Gutiérrez Casas, David Vázquez Guzmán

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2025
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Production (economics)Local DevelopmentPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Motivated by recent global disruptions, this study examines the evolution of the municipality of Juárez, Chihuahua in terms of how much it has a dependent economy, given its ties to North America production networks. The paper tests whether structuralist and dependence theories continue to explain the city’s economic dynamics. Using employment data from Juárez, México, United States and Canada for the period 2003-2018, the study apply the dynamic variant of shift-share technique to separate the sources of changes in Juárez employment into continental—for North America, sectoral, and merely local components. Results show that local dynamics have increasingly contributed to the growth of employment, especially in the sector of manufacturing, the economic linchpin of the region. Juárez, However, remain trapped in low value activities according to the results. The findings suggest that although Juárez is still dependent on central economies has developed capabilities to grow by itself un the twenty-first century.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.010
GPT teacher head0.241
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueDialnet (Universidad de la Rioja)Same topicRegional Economic and Spatial AnalysisFrench-language works237,207