Experiencias biográficas de trabajadoras en la industria de exportación en el norte de México y Marruecos
Bibliographic record
Abstract
El presente artículo reflexiona sobre cómo la globalización económicaafecta a la vida de las mujeres que trabajan en la industria de exportaciónen espacios fronterizos marcados por la porosidad de dicha frontera. Hemos queridointerrogarnos acerca de cómo lo macro afecta a lo micro, coadyuvando a lageneración de espacios glolocales, donde la vivencia transfronteriza y la migración(interna o internacional) adquiere relevancia. Para ello se han escogido dosrelatos biográficos (para cada caso estudiado) que nos ayudan a ejemplificar dichasvivencias, enfatizando la función expresiva del enfoque biográfico al que se refiereBertaux. Ambos casos se han seleccionado de una investigación más amplia querecoge la vida de ochenta mujeres que cuentan con experiencia laboral en la industriade exportación en la frontera de México con EEUU y la de Marruecos conEspaña.This article reflects on how economic globalization affects the livesof women working in the export industry in border areas marked by the porosity ofsaid border. We wanted to ask ourselves about how the macro affects the micro,helping to generate glolocal spaces, where the cross-border experience and migration(internal or international) becomes relevant. To this end, two biographicalaccounts have been chosen (for each case studied) that help us to exemplify theseexperiences, emphasizing the expressive function of the biographical approach towhich Bertaux refers. Both cases have been selected from a wider investigationthat includes the lives of more than a hundred and fifty people (eighty women) whohave work experience in the export industry on the border of Mexico with the USand Morocco with Spain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".