The Relationship Between Self-Esteem, Gender, Criminal Attitudes, and Recidivism in a Youth Justice Sample
Bibliographic record
Abstract
The Risk-Need-Responsivity (RNR) model deems criminal attitudes a high-priority criminogenic target for both genders while self-esteem is considered noncriminogenic, hence low priority. In contrast, self-esteem is afforded greater priority among gender-responsive researchers, while the construct of criminal attitudes is afforded lesser priority. We examined whether self-esteem and gender moderated the relationship between criminal attitudes and recidivism among 300 justice-involved youth (200 males, 100 females). Contrary to the hypothesis, high self-esteem (≥72.15th percentile) magnified the relationship between criminal attitudes (Pride in Delinquency Scale) and recidivism in females only; self-esteem levels evidenced no impact on the relationship between criminal attitudes and recidivism among males. Results suggest that prioritizing self-esteem as a treatment target among justice-involved female youth without simultaneously considering whether or not pride in criminal conduct is also present may inadvertently increase reoffending. Implications for exploring whether high self-esteem may in reality represent falsely inflated self-esteem are discussed.
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".