PROGRAM EVALUATION OF THE<i>PREP<u><scp><i>a</i></scp></u>RE</i>SCHOOL CRISIS PREVENTION AND INTERVENTION TRAINING CURRICULUM
Bibliographic record
Abstract
This study details a program evaluation of the PREPaRE School Crisis Prevention and Intervention Training Curriculum (PREPaRE), conducted in the United States and Canada between 2009 and 2011. Significant improvements in crisis prevention and intervention attitudes and knowledge were shown among 875 Crisis Prevention and Preparedness workshop (Workshop 1) participants and 1,422 Crisis Intervention and Recovery workshop (Workshop 2) participants on matched pre-tests and post-tests. Results indicated high participant satisfaction for both Workshop 1 and Workshop 2. A qualitative analysis of workshop evaluation comments indicated strengths regarding workshop aims, materials, and activities, as well as suggestions for improvement, such as utilizing more active learning components. The use of these findings in the PREPaRE curriculum revision is discussed.
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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 | 0.008 | 0.002 |
| 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 | 0.001 | 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".