Devaluation of Attractive Alternatives: How Those With Poor Inhibitory Ability Preemptively Resist Temptation
Bibliographic record
Abstract
How do people resist in-the-moment temptation if they are poor at inhibiting their impulses? Theory on self-control suggests that people have a toolbox of strategies available to them that may be used preemptively to dampen temptations. Applying this to the goal of relationship maintenance, in two studies, we examined whether people motivated to maintain their romantic relationship but poor at inhibitory control would appraise an attractive alternative (AA) as less appealing prior to a face-to-face interaction. In Study 1 ( N = 190), those with high motivation and low inhibitory control (measured with the Stroop) rated the AA as less appealing as compared with singles and those high in motivation and inhibitory control. We replicated the motivation by inhibitory control interaction in Study 2 ( N = 219). The AAs paradigm and the Devaluation Effect provide a useful way to explore the toolbox approach to self-control strategies.
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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 | 0.001 | 0.009 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".