Devaluation Versus Enhancement of Attractive Alternatives: A Critical Test Using the Calibration Paradigm
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
The calibration paradigm was used to test the competing hypotheses that (a) commitment motivates unduly negative evaluations of attractive alternatives (devaluation) versus (b) low commitment motivates exaggerated positive evaluations of attractive alternatives (enhancement). Single participants and dating participants low and high in relationship commitment were presented with an attractive, available person of the opposite sex and asked to judge the person's romantic appeal from their own perspective or from the perspective of their friends. Contrary to predictions based on the enhancement hypothesis, single and low-commitment participants did not provide higher ratings from their own perspective. In support of devaluation and calibration hypotheses, committed participants did provide lower ratings from their own perspective. Singles did not rate the target less attractive in a third condition in which the target was unavailable. However, dating participants, regardless of commitment level, rated the unavailable alternative negatively, consistent with social comparison processes and interdependence theory.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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