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Record W4312203358 · doi:10.1111/ilrs.12262

El ordenamiento jurídico y la segmentación del mercado de trabajo por razón de género

2022· article· es· W4312203358 on OpenAlexaff
Judy Fudge, Guy Mundlak

Bibliographic record

VenueRevista Internacional del Trabajo · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Resumen Tras estudiar el consenso bibliográfico sobre la interacción de la legislación laboral con el género, se distinguen las siguientes funciones del ordenamiento jurídico: constituir las instituciones del mercado laboral, sostenerlas, corregir sus resultados indeseados y transformarlas. La relación de trabajo típica y las instituciones del empleo formal, constituidas en virtud de ese proceso, tienen efectos segmentadores de género. La corrección normativa de esos efectos tiende a perpetuarlos. Los autores propugnan una alternativa transformadora de formulación de nuevas normas basadas en dos principios generales: universalización del ámbito de aplicación y adaptación del contenido a los intereses de mujeres y hombres en diferentes situaciones.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.008
Science and technology studies0.0040.012
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.016
GPT teacher head0.328
Teacher spread0.312 · 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 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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