More than words: Reframing compliments from romantic partners fosters security in low self-esteem individuals.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although people with low self-esteem (LSEs) doubt their value to their romantic partners, they tend to resist positive feedback from their partners. This resistance undermines their relationships and has been difficult to overcome in past research. The authors investigated whether LSEs could be induced to take their partners' kind words to heart by manipulating how abstractly they described a recent compliment. In 3 studies, LSEs felt more positively about the compliments, about themselves, and about their relationships--as positively as people with high self-esteem (HSEs) felt--when they were encouraged to describe the meaning and significance of the compliments. The effects of this abstract meaning manipulation were still evident 2 weeks later. Thus, when prompted, LSEs can reframe affirmations from their partners to be as meaningful as HSEs generally believe them to be and, consequently, can feel just as secure and satisfied with their romantic relationships.
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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 | 0.002 | 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 it