Conformism Moderates the Relations Between Values, Anticipated Regret, and Behavior
Bibliographic record
Abstract
The purpose of the present study was to evaluate the moderating effect of Conformism values on the relations between other values and behavior. The authors expected people low, but not high, in Conformism to behave in a manner that is consistent with their personal values related to self-transcendence versus self-enhancement. In Study 1 (N = 199), such values predicted actual altruistic behavior, as estimated by other-reports, but only if Conformism values were low. In Study 2 (N = 189), only people who considered Conformism values to be relatively unimportant showed expected connections between self-transcendence values and anticipated regret in hypothetical scenarios having negative consequences. The data are interpreted as supporting the view that (a) anticipated regret motivates value-consistent behavior, (b) self-transcendence values in particular are connected to altruistic behavior and to anticipated regret, but (c) conformity to social norms moderates these connections.
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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 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".