Service Learning Programs with Juvenile Offenders
Bibliographic record
Abstract
While prior research on service-learning has established the benefits for participating college and university students, more recent research has attempted to explore the value of service-learning projects for the recipients of the service-learning projects, typically public-school students. This study endeavors to extend this research to a special subset of this population by examining the outcome of a 6-week service-learning project in an alternative educational setting for juvenile offenders. This service-learning project involved teams of four to five university business school students presenting a life skills curriculum to two classrooms of students who have been adjudicated through the juvenile courts. We administered an optional questionnaire to all participating students as a pretest and posttest, asking about their knowledge and skills in career readiness. We found statistically significant increases in ratings from pretest to posttest. Analyzed individually, all 28 items showed statistically significant improvements from pretest to posttest. Scales created from the items were also statistically significant, with the greatest change in items measuring Goals. We interpret these findings as an indication that adjudicated youth have a substantial need and interest in career information and training.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".