Tandem Project: Developing Cultural Intelligence in Police Technology Students Using Cultural/Ethnic Mentors
Bibliographic record
Abstract
The Tandem Project was an experimental applied pedagogical approach designed to meet the needs of diverse community policing and training in Montreal, Quebec, for police technology students in their first year. It allows the students to develop cultural awareness, cultural competency and cultural intelligence. This approach was developed to expose students in their first year to a random selection of ethnic/cultural mentors who represent 13 to 20 minority groups of the 120 groups in Montreal. The students, when meeting with the mentors, learn basic cultural etiquette, proper intervention techniques and how to engage community members concerning a number of issues. They also learn how the community perceives the police and main barriers between the police and the community. The results are twofold; the students learn who their future clients are and what their needs are. They also learn culture-specific interaction and communication techniques as well as culture-specific de-escalating approaches. Additionally, the mentor and their community learn to overcome negative stereotypes of police and develop a level of trust. As one church parishioner from a minority community said, ’it was nice to have the police students come to our church, it shows they care.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".