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Record W4412161295 · doi:10.16995/ilrs.18841

¿Influyen los sindicatos y la negociación colectiva en el cumplimiento de las normas del trabajo? Relaciones laborales locales en las cadenas mundiales de suministro

2025· article· es· W4412161295 on OpenAlexaff
Luisa Lupo, Anil Kumar Verma

Bibliographic record

VenueRevista Internacional del Trabajo · 2025
Typearticle
Languagees
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

En este artículo se examina la influencia de las relaciones laborales locales —los sindicatos y la negociación colectiva— en la mejora de las condiciones de trabajo en las fábricas de confección que exportan a marcas y minoristas multinacionales. A partir de datos de Bangladesh, Camboya, Haití, Indonesia, Jordania, Nicaragua y Viet Nam recogidos por el programa Better Work, se observa que las relaciones laborales locales ayudan a mejorar determinadas condiciones, incluso si la libertad sindical y la negociación colectiva están restringidas. Este resultado corrobora parcialmente la tesis de que las normas del trabajo en el segmento productivo de las cadenas mundiales de suministro pueden mejorar mediante la participación de actores e instituciones locales.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.009
GPT teacher head0.340
Teacher spread0.331 · 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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