Examining the good lives model and antisocial behaviour
Bibliographic record
Abstract
This study examined the utility of the Good Lives Model (GLM) (Ward, T., & Stewart, C. A. (2003). The treatment of sex offenders: Risk management and good lives. Professional Psychology: Research and Practice, 34(4), 353–360. doi:10.1037/0735-7028.34.4.353) in understanding offending behaviour in students. Two hypotheses were made, consistent with the assumptions of the GLM. First, that participants would endorse the importance of the primary goods set out in the GLM. Second, that reports of antisocial behaviour would relate to a lack of effective strategies, or use of maladaptive strategies, to achieve primary goods. Participants (n = 340, M age = 20 years) completed a questionnaire (Measure of Life Priorities) assessing their pursuit, valuation, and achievement of the primary human goods as set out in the GLM and a Self-Report of Offending questionnaire. Results supported our hypotheses, and subsequently the assumptions of the GLM. Our findings support the continued use of the GLM as a theoretical and treatment oriented framework in diverse groups engaged in offending behaviour. Future research should continue to ground the GLM in empirical support.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".