Unpaid work, paid work and gender inequality: An analysis of time transfer accounts for Turkey
Bibliographic record
Abstract
Abstract This paper provides a comprehensive assessment of the total (market and non-market) gender-based production and consumption activities of Turkish men and women at different stages of their life-cycle. Turkey, one of the few emerging economies within the OECD, offers an interesting case-study as its female labour force participation rate is one of the lowest among OECD countries. Our results show that time spent by Turkish women on household activities is, on average, 30 h a week, basically three times as much as men. In fact, the women-to-men time use ratio for unpaid work is roughly twice as much as the OECD average. We estimate that the monetary value of women unpaid household production exceeds 29% of GDP, while the corresponding estimate for men is around 8%. Using the concept of life-cycle deficit, we also show that Turkish men are dependent on housework undertaken by women over their entire lifetime, which is an almost unique feature in comparison to the European and OECD countries. Finally, unlike other OECD countries that have introduced disincentives to early retirement, Turkish men continue to retire early but retain their acquired habits of not sharing the burden of household work.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".