Las medidas jurídicas ante la discriminación de remuneración entre mujeres y hombres: un análisis de Derecho comparado
Bibliographic record
Abstract
Este trabajo presenta un análisis de Derecho comparado que pretende identificar los instrumentos jurídicos que han sido establecidos y aplicados en otros sistemas a fin de superar la discriminación remunerativa, a fin de, posteriormente, evaluar su incorporación en el sistema chileno. Al efecto, fueron seleccionados los de la Provincia de Quebec, Suecia y España, se identificaron los respectivos instrumentos y se analizó su funcionamiento tanto en el sistema jurídico como en el de relaciones laborales. Este estudio permitió identificar las medidas activas y de transparencia remunerativa que se establecen por parte de cada empresa, junto con la participación de los representantes de los trabajadores para su implementación. Sin embargo, este último elemento plantea carencias en el sistema chileno, dada la debilidad de su estructura sindical, por lo que la incorporación de tales medidas plantearía grandes desafíos
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".