Occupational segregation situations faced by Mexican migrant women hosted by the Seasonal Agricultural Workers Program in Canada during the years 2015 - 2017
Bibliographic record
Abstract
El programa PTAT, es establecido entre los gobiernos de México y Canadá para generar oportunidades de empleo a través de un modelo de movilidad laboral legal. En este contexto, el estudio tiene como objetivo conocer las situaciones de segregación ocupacional que enfrentaron las mujeres migrantes mexicanas entre los años 2015-2017 acogidas por el programa. A través de la metodología cualitativa, con enfoque hermenéutico, y mediante un estudio de caso se explora la perspectiva de las mujeres migrantes mexicanas participantes en el programa PTAT, revelando así los significados subyacentes de sus vivencias en un contexto migratorio y laboral. Se reconocen conceptos como la relación laboral, derechos fundamentales, desigualdad y discriminación laboral y el enfoque feminista en las migraciones, en donde en los resultados se evidencian situaciones de maltrato, abuso y discriminación hacia la mujer en el programa. Se concluye que la segregación laboral persiste para mujeres migrantes mexicanas en el programa PTAT entre Canadá y México, pues a pesar de las medidas de protección y vinculación que se garantiza para ambos géneros, los estereotipos de género aún presentes pueden limitar las oportunidades laborales de las mujeres dentro del programa.
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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 | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".