Simple reflection exercises can build efficacy and reduce distress about relationship conflicts
Bibliographic record
Abstract
Abstract Serious conflicts in close personal relationships can be highly distressing and tempting to ignore, but avoidance of conflict is maladaptive. In the present research, we tested the effectiveness of short conflict‐reflection interventions to promote constructive engagement with conflicts. In Study 1 ( N = 358), a relatively unstructured, conflicted‐reflection intervention significantly reduced distress and bolstered confidence in partners' ability to resolve their relationship conflicts. Study 2 ( N = 411) further revealed that this intervention was as, or nearly as effective as more elaborate interventions that prescribed specific, theory‐based, therapeutic elements. Together, results reveal that even brief episodes of constructive reflection on relationship conflicts can improve confidence and reduce distress about them. The positive effects of a relatively unstructured reflection suggest people already have adaptive intuitions about how to more effectively manage conflicts in their relationships and can benefit from brief reflections on how to apply them.
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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 | 0.001 |
| 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 | 0.000 |
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".