Divorces and women's income: initial findings for the Czech Republic based on individual data
Bibliographic record
Abstract
In most cases, divorce leads to a radical change in life situation with many consequences for both divorcees. Nowadays nearly half of all marriages in the Czech Republic end in divorce and so this has been and will continue to be part of life for a significant proportion of the country's population. The consequences of divorce are highly influenced by the division of labour within the couple prior to their separation. There is a high level of division in most Czech families. Women spend much more time caring for children, relatives and the home, while men are largely focused on paid employment. We estimate that married women aged 20 to 70 who are neither studying nor in receipt of an old-age pension would see their net incomes fall by 20 % if they ceased to share income within their household (e.g. as a result of divorce and separation). Households led by divorced women report some of the lowest incomes per household member. The average income in a female-led divorced household is one fifth lower than in married households and a quarter lower than in households led by divorced men. Divorced women are, however, more economically active than married women; this is probably a reaction to their loss of income following divorce. Nevertheless this difference could also suggest that women who are economically active are less attractive as partners (Bertrand, 2016).
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".