Putting the Partner Within Reach: A Dyadic Perspective on Felt Security in Close Relationships.
Bibliographic record
Abstract
The authors argue that felt insecurity in a partner's positive regard and caring stems from a specifically dyadic perception--the perception that a partner is out of one's league. A cross-sectional sample of dating couples revealed that people with low self-esteem feel inferior to their partner and that such feelings of relative inferiority undermine felt security in the partner's regard. Three experiments examined the consequences of reducing such perceived discrepancies by pointing to either strengths in the self or flaws in the partner. Low, but not high, self-esteem participants reacted to new strengths in the self or faults in the partner by reporting greater felt security in their specific partner's positive regard and commitment and more positive, general feelings about their own interpersonal worth. Thus, putting the partner more within the psychological grasp of low self-esteem people may effectively increase felt security in the partner's regard.
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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 | 0.003 | 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 | 0.002 |
| 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".