Whose fault is it? Blame predicting psychological adjustment and couple satisfaction in couples seeking fertility treatment
Bibliographic record
Abstract
Infertility bears psychological and relational consequences for couples who face this problem. Few studies have examined the role of self- and partner blaming to explain psychological and relationship adjustment in couple presenting with a fertility problem. This study used a dyadic approach to explore the links between blaming oneself and one's partner and both partners' symptoms of depression and anxiety, and couple satisfaction in 279 couples enrolled in fertility treatments. Partners were questioned about the extent to which they blamed themselves and their partner for the fertility problem. They also completed the Dyadic Adjustment Scale and the Index of Psychological Symptoms. Path analyses based on the Actor-Partner Interdependence Model showed that self-blame predicted anxiety and depression symptoms in both men and women. Men's self-blame also predicted their own lower relationship satisfaction, whereas women's self-blame predicted more depression and anxiety in their partner. Partner blame in women predicted their own and their partner lower relationship satisfaction. Women's tendency to blame their partner also predicted their own depression symptoms. Clinical implications of these findings are discussed.
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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 | 0.001 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".