A Cognitive Control Perspective of Self‐Control Strength and Its Depletion
Bibliographic record
Abstract
Abstract Self‐control strength is a central construct to theories of willpower, optimal functioning, freedom from addiction, and abilities to override problematic social motives and behaviors (e.g., aggression). Understanding the processing basis of self‐control strength, and more particularly its depletion, is thus of paramount importance to both basic and applied literatures. Self‐control strength, the present review suggests, can be profitably viewed in cognitive control terms, particularly so in relation to operations of a brain‐based cognitive control circuit involving the anterior cingulate cortex (linked to monitoring potential or actual unwanted outcomes) and the dorsolateral prefrontal cortex (linked to controlling potential or actual unwanted outcomes). Also, sufficient task motivation is important to operations of this circuit and depletion effects might be understood in terms of such depletion effects on task motivation. Multiple sources of evidence are marshaled in support of this cognitive control perspective of self‐control strength. It is concluded that viewing self‐control strength in cognitive control terms has considerable merit. Social, cognitive, personality, and clinical sources of data are integrated in the analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".