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Record W4403392585 · doi:10.1080/07418825.2024.2413584

The Self-Control Ability Scale: Measuring a Key Construct of Situational Action Theory

2024· article· en· W4403392585 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJustice Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsMontreal Clinical Research Institute
FundersDeutsche Forschungsgemeinschaft
KeywordsConstruct (python library)Situational ethicsKey (lock)Action (physics)Scale (ratio)PsychologyConstruct validityControl (management)Self-controlSocial psychologyApplied psychologyComputer sciencePsychometricsComputer securityDevelopmental psychologyArtificial intelligence

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.327
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it