The Self-Control Ability Scale: Measuring a Key Construct of Situational Action Theory
Bibliographic record
Abstract
Situational Action Theory (SAT) has emerged as a prominent theory of crime and delinquency. It includes a new conceptualization of self-control, which emphasizes its role in enabling individuals to adhere to their morality when deliberating about deviant and non-deviant action alternatives. However, existing self-control scales do not directly capture this role of self-control as a guardian of personal morality when externally challenged. To close this gap, we developed and validated the Self-Control Ability Scale (SCAS) to measure an individual’s self-perceived ability to withstand temptation, provocation, or social pressure when they conflict with their personal morality. We present the results of four studies that provide evidence for the three-dimensional structure of the SCAS, the reliability of its measures, its validity, and its measurement invariance across age, gender, and language. The SCAS promises more informative tests of SAT and new insights into individuals’ ability to adhere to their morality when challenged.
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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 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".