Intermittent Employment Among Married Women: A Comparative Study of Buenos Aires and Mexico City
Bibliographic record
Abstract
This study examines comparatively individual, household and labor market determinants of married women’s intermittent employment in Buenos Aires (Argentina) and Mexico City (Mexico). Using panel data from employment surveys and retrospective life histories, I found that intermittent employment (frequent entries into and exits out of the labor force) is very common among married women in the two cities and is not necessarily determined by changes in the life cycle. It is strongly associated with women’s level of education (and consequently their socioeconomic status), the employment stability of husbands, the types of jobs women have access to and with having young children at home. Although the incidence of intermittent employment is considerable high in both cities, it is higher in Mexico City. In Buenos Aires, it is mainly a consequence of the lack of affordable childcare and restricted labor demand, while in Mexico City it is more related to informal labor conditions and to traditional gender relations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".