Career Paths in Spain: Gendered Division of Labour and Informal Employment
Bibliographic record
Abstract
L’article présente une analyse comparative des trajectoires professionnelles masculines et féminines visant à étudier le rôle que joue la division sexuelle du travail dans le modèle de l’emploi espagnol. Les résultats montrent la persistance de la division sexuelle du travail et sa contribution à l’élaboration des trajectoires professionnelles, où le secteur informel apparaît comme l’un de ses traits distinctifs. Une réalité qui, bien que présente partout en Europe, diffère selon le contexte socioculturel et productif de chaque pays. Dans le cas espagnol, celle-ci devient réalité en temps de crise et met en évidence l’existence d’un continuum entre l’emploi formel et le travail informel, que nous avons observé à travers les trajectoires analysées. Nos résultats illustrent les différences entre les hommes et les femmes et confirment que la division sexuelle du travail persiste.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".