Labour Market Intermittency and Its Effect on Gender Wage Gap in Spain
Bibliographic record
Abstract
Cet article analyse les différences de genre dans les épisodes d´abandon de l´emploi salarié dans les itinéraires de travail des individus, ainsi que leur répercussion sur les salaires perçus dans le dernier emploi. L´analyse est fondée sur les données de la Muestra Continua de Vidas Laborales, des années 2005 à 2010. Cette base de données permet de construire un indicateur composé des aspects les plus importants touchant les interruptions de travail. Cet indicateur est utilisé pour décrire la relation entre les itinéraires ou trajectoires de travail et la situation sur le marché du travail des hommes et des femmes, ainsi que pour mesurer son influence sur le salaire. Les résultats obtenus montrent que les interruptions dans l´emploi ont un impact négatif et significatif sur les revenus salariaux et expliquent en partie les différences observées entre les hommes et les femmes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".