When Is Being Known or Adored by Romantic Partners Most Beneficial? Self-Perceptions, Relationship Length, and Responses to Partner's Verifying and Enhancing Appraisals
Bibliographic record
Abstract
An experiment tested the hypothesis that relationship length moderates preferences for both verifying and enhancing appraisals from romantic partners, particularly for people with negative self-perceptions. One hundred and three romantically involved couples participated in this research. Participants with both negative and positive self-perceptions were randomly assigned to receive either verifying or enhancing feedback ostensibly created through comparison of their self-ratings and their partner's appraisals. The critical test was for those with negative self-ratings who received verifying feedback. For these participants, results revealed that those in longer relationships felt their partners were seeing the best in them more than did those in shorter relationships, whereas the opposite pattern of results was observed for those who were enhanced. Individuals with negative self-ratings who were verified also reported greater feelings of intimacy in the relationship when in long-term relationships. The importance of relationship length in moderating responses to partner's appraisals is 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 | 0.002 | 0.012 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".