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Record W2018932955 · doi:10.1080/02255189.2002.9669968

Différenciation et travail dans la<i>maquila</i>: éléments pour une interprétation de la dynamique territoriale au Yucatán?

2002· article· fr· W2018932955 on OpenAlexvenueno aff
Christian Azaïs

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsExtension (predicate logic)Political scienceSociologyEconomic geographyGeographyEconomic systemEconomyEconomicsComputer science

Abstract

fetched live from OpenAlex

ABSTRACT The article examines the differentiation caused by the introduction of industrial units (known as “maquiladoras”) in Yucatán. Two major hypotheses emerge in the text. Firstly, the changes brought about by these new industrial units have an impact on the territory, thereby renewing apprehension in the concept of “maquiladoras” in both economic theory and regional science. Secondly, labour is considered a privileged access to territorial dynamics. It is proposed that different forms of labour contribute to shaping a territory and, by extension, they impose their individual differentiation on the territorial dynamics.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.279
Teacher spread0.232 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2002
Admission routes1
Has abstractyes

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