Bibliographic record
Abstract
Trait self-control is highly valued, often equated with moral righteousness and associated with numerous positive life outcomes. This paper challenges the conventional conflation of trait self-control and state self-control. We suggest that while trait self-control is consistently linked to success, state self-control is not the causal mechanism driving these benefits. Trait self-control, sometimes also referred to as conscientiousness, grit, and the ability to delay gratification, predicts better health, wealth, and academic achievement. Conventional wisdom has it that people high in trait self-control reap all these benefits because they engage in more state self-control, defined as the momentary act of resolving conflict between goals and fleeting desires. Despite its intuitive appeal, there are problems with extolling state self-control because of our love for trait self-control. First, empirical evidence suggests that individuals high in trait self-control do not engage in more state self-control but engage it less. Second, changes to state self-control do not reliably and sustainably improve people's outcomes, as least in the long-term. And third, despite the possibility of dramatic improvements in trait self-control, these improvements are often short lived, with people returning to their baseline trait level over longer time horizons. The roots of this problem are numerous: Imprecise and inaccurate naming of our constructs that lead to construct drift and contamination; ignoring the numerous other facets of conscientiousness like orderliness or industriousness; and not appreciating that traits are sometimes not reducible to states. We suggest that the celebrated benefits of trait self-control arise from mechanisms beyond state self-control and highlight the need for a broader conceptualization of self-control in psychological research and practical interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".