Double burden for women in mid- and later life: evidence from time-use profiles in Cebu, the Philippines
Bibliographic record
Abstract
Using data from the Cebu Longitudinal Health and Nutrition Survey (CLHNS, 1994, 1998, 2002, 2005, 2007, 2012), we utilize latent class analysis (LCA) to develop time use class membership to characterize the degree to which women in Cebu are subject to the double burden of work and family responsibilities in mid and later life. Results suggest that close to a third of the sample are engaged in high intensity work for pay (either outside or home-based) over eighteen years, while combining it with a substantial amount of household chores and with low level of personal time in a span of eighteen years. Our latent transition analysis (LTA) also shows that, with the addition of grandchildren into the household, some women experience a shift in time use class membership by becoming high intensity caregivers or by completely transitioning out of work arena, while others remain double-burdened with active involvement in both work and family responsibilities.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".