Interaction structure of husbands' and wives' disclosure of marital conflict to their respective best friend.
Bibliographic record
Abstract
Husbands' and wives' conversations with their respective best friend (N = 88) were coded to assess spouses' and friends' mutual influence in regulating support and interference with regard to spouses' marriage and to assess the impact of spouses' sex and marital satisfaction on the conversation processes. Dissatisfied husbands and wives expressed fewer positive and more negative views of marriage than satisfied husbands and wives and the friends in the 2 groups. There were no group and no sex differences in interference sequences. There were group and sex differences in support sequences. Friends of satisfied wives and those of dissatisfied husbands were more likely than satisfied wives and dissatisfied husbands to get support for their positive views of marriage. The findings are discussed with reference to the specific effects of outsiders' support and interference on satisfied and dissatisfied spouses.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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".