Is “getting started” an effective way for people to overcome the depletion effect?
Bibliographic record
Abstract
Abstract Whereas most research on depletion focuses on its effect on the overall performance of a subsequent task requiring self‐control, we examine the effect of depletion on self‐control after performance has begun. Across different manipulations of depletion and using different measures of self‐control (e.g., overriding an automatic behavioural tendency, enduring on a physically demanding task, and making healthy consumption choices), the results of three studies show that when self‐control has been initiated, the effect of depletion has little influence on subsequent behaviour also requiring self‐control: in other words, “getting started” on a self‐control task attenuates the depletion effect. The results also show that the way in which self‐control starts—that is, whether people choose to regulate, or whether this choice is forced—appears irrelevant. This research clarifies an effective way to facilitate self‐control after depletion, while providing a better understanding of the process underlying depletion. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".