Too tired to tell the truth: Self-control resource depletion and dishonesty
Bibliographic record
Abstract
The opportunity to profit from dishonesty evokes a motivational conflict between the temptation to cheat for selfish gain and the desire to act in a socially appropriate manner. Honesty may depend on self-control given that self-control is the capacity that enables people to override antisocial selfish responses in favor of socially desirable responses. Two experiments tested the hypothesis that dishonesty would increase when people's self-control resources were depleted by an initial act of self-control. Depleted participants misrepresented their performance for monetary gain to a greater extent than did non-depleted participants (Experiment 1). Perhaps more troubling, depleted participants were more likely than non-depleted participants to expose themselves to the temptation to cheat, thereby aggravating the effects of depletion on cheating (Experiment 2). Results indicate that dishonesty increases when people's capacity to exert self-control is impaired, and that people may be particularly vulnerable to this effect because they do not predict it.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".