Marital adjustment in post‐Soviet Eastern Europe: A focus on Lithuania
Bibliographic record
Abstract
Abstract Seventy‐five married female and 43 married male residents of Lithuania participated in a questionnaire study of their marital adjustment and marital chore division. The participants reported their marital chore division, beliefs about gender appropriateness for a list of chores, and the number of hours per week they spend on these chores. They also completed the Marital Adjustment Test ( H. J. Locke & K. M. Wallace, 1959 ). Egalitarian chore practices were positively correlated with marital adjustment for women, but egalitarian chore beliefs were positively correlated with marital adjustment for men. The results are consistent with speculation that chore division may be particularly relevant to marital adjustment in a post‐Soviet context that has a tendency toward egalitarianism in the workplace, but not in the home.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".