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.
Bibliographic record
Abstract
Objectives: Self-efficacy, the subjective belief that one can successfully perform a behavior, has been shown to be an important predictor of various conventional behaviors. This study applies self-efficacy theory to offending experiences and aims at examining the factors that influence criminal self-efficacy. Methods: The study is based on a survey questionnaire that was administered to 212 inmates. The sources of information identified by self-efficacy theory—individual and contextual characteristics, physiological states, social persuasion, vicarious learning, and personal performance accomplishments—were operationalized with the data to evaluate their impact on criminal self-efficacy. Results: Results from ordered logistic regressions demonstrate that age, education, legitimate earnings, relative criminal earnings, qualifications, authority, and criminal earnings are the most potent factors influencing the development of criminal self-efficacy. Conclusion: This study’s findings are consistent with research on noncriminal contexts in that one’s self-efficacy in a given domain is primarily the result of personal and vicarious experiences as well as contextual features surrounding these activities. While this study could not evaluate the temporal horizons extending from criminal self-efficacy, we believe that these subjective outlooks bare great theoretical relevance for life course criminology and might prove informative in understanding criminal persistence and desistance.
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 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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it