Oh Darling, This Too Shall Pass: Cyclic Perceptions of Change Keep You in Romantic Relationships Longer During Difficult Times
Bibliographic record
Abstract
The present research explored how individual differences in perceptions of change (cyclic vs. linear) influence relational decisions. Three studies examined whether cyclic perceptions of change, a central feature of holistic thinking, keep people in romantic relationships longer due to the belief that hardships too shall pass. Study 1 found that cyclic perceivers reported greater endurance against relational transgressions than linear perceivers. In Studies 2a and 2b, cyclic perceivers reported fewer breakups in romantic relationships (Study 2a) and showed less willingness to break up (Study 2b) than linear perceivers due to their stronger relational endurance. Through a longitudinal examination, Study 3 evidenced that cyclic perceivers were more likely to remain in romantic relationships than linear perceivers over 1 year. The current studies provide new insight into how individual differences in perceptions of change contribute to decision-making in romantic relationships.
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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 | 0.002 | 0.009 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".