Enacting rituals to improve self-control.
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Rituals are predefined sequences of actions characterized by rigidity and repetition. We propose that enacting ritualized actions can enhance subjective feelings of self-discipline, such that rituals can be harnessed to improve behavioral self-control. We test this hypothesis in 6 experiments. A field experiment showed that engaging in a pre-eating ritual over a 5-day period helped participants reduce calorie intake (Experiment 1). Pairing a ritual with healthy eating behavior increased the likelihood of choosing healthy food in a subsequent decision (Experiment 2), and enacting a ritual before a food choice (i.e., without being integrated into the consumption process) promoted the choice of healthy food over unhealthy food (Experiments 3a and 3b). The positive effect of rituals on self-control held even when a set of ritualized gestures were not explicitly labeled as a ritual, and in other domains of behavioral self-control (i.e., prosocial decision-making; Experiments 4 and 5). Furthermore, Experiments 3a, 3b, 4, and 5 provided evidence for the psychological process underlying the effectiveness of rituals: heightened feelings of self-discipline. Finally, Experiment 5 showed that the absence of a self-control conflict eliminated the effect of rituals on behavior, demonstrating that rituals affect behavioral self-control specifically because they alter responses to self-control conflicts. We conclude by briefly describing the results of a number of additional experiments examining rituals in other self-control domains. Our body of evidence suggests that rituals can have beneficial consequences for self-control. (PsycINFO Database Record
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".