Fostering partner dependence as trust insurance: The implicit contingencies of the exchange script in close relationships.
Bibliographic record
Abstract
A model of the trust-insurance system is proposed to examine how people with low and high self-esteem cope with the interdependence dilemma posed by feeling inferior to a romantic partner. Feeling inferior automatically activates "if-then" contingencies that link inferiority to the exchange script (i.e., partner qualities are evenly traded) and exchange script anxieties to reparative efforts to secure a partner's dependence. A daily diary study of newlyweds and 5 experiments supported the model. Induced upward social comparisons to the partner activated exchange anxieties for low, but not high, self-esteem people. When implicitly primed, the exchange script heightened worries about being inferior and motivated behavioral efforts to increase the partner's dependence regardless of self-esteem. When consciously deliberated, the exchange script elicited dependence promotion only for low self-esteem people.
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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 | 0.000 |
| 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 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".