Royal Canadian Mounted Police detachment commanders' perceptions about youth violence and the school liaison officer program
Bibliographic record
Abstract
This study provided an overview of youth violence and violence in schools.This study focused on how the police could play an active in addressing violence in schools through the use of full time school liaison officer.The roles and duties of a school liaison officer were discussed to support the researcher's belief that a full time school liaison officer could prevent and reduce violence in schools.In addition, three Royal Canadian Mounted Police Detachment Commanders were interviewed, through the use of a standard questionnaire, to determine their opinions, knowledge, and beliefs about violence in schools.The Detachment Commanders were asked to identify, based on the needs of the community they policed, what priority they placed on assigning a full time school liaison officer at their local high school and the expected benefits.After the Detachment Commanders' interviews were completed, the data was analyzed and the common themes were identified and discussed.A full time school liaison officer can and does prevent violence in schools, and the benefits of having a full time school liaison officer were evident.Detachment Commanders agreed with the importance ofhaving a full time school liaison officer but believed a full time school liaison officer would be ideal if such issues as police officer workloads, funding for police, community attitudes, and the availability of police resources were considered prior to allocating police personnel.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".