“We're in this together”: Attachment insecurities, dyadic coping strategies, and relationship satisfaction in couples involved in medically assisted reproduction
Bibliographic record
Abstract
Attachment is an important predictor of relationship satisfaction and attachment insecurities are a risk factor for couples under stress. Drawing from the Vulnerability-Stress-Adaptation model, we investigated whether dyadic coping strategies (DCS) would explain the links between attachment insecurities and relationship satisfaction in 97 couples involved in medically assisted reproduction (MAR). Path analyses revealed that for women and men, attachment insecurities (anxiety, avoidance) were associated with their own lower relationship satisfaction through their lower use of positive DCS. Attachment avoidance was also associated with participants' own lower relationship satisfaction through their own lower use of negative DCS. Men's attachment avoidance was also related to their partner's lower relationship satisfaction via their own and their partner's lower use of positive DCS. The findings suggest that promoting the use of positive DCS may be important to preserve relationship satisfaction in couples involved in MAR.
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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 | 0.000 |
| 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 | 0.001 |
| 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; 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".