Public trust in policing: A global search for the genetic code to inform policy and practice in Canada
Bibliographic record
Abstract
The Executive Global Studies Program is an experiential and research-driven learning model for succession-ready police leaders and related executives across Canada, operating since 2003. Its research themes for each cohort are assigned by the Canadian Association of Chiefs of Police (CACP). Nominees are each named and funded by their respective agencies with a view to informing domestic public policy and practice, while also providing a developmental framework for building global networks, shared geo-political awareness, and advanced executive competencies among the police leadership community. The program’s tenth cohort completed a 15-country study on the subject of public trust in policing, and they recently presented their summarized research results to the CACP for consideration and action. In this paper, these results are summarized and discussed for their potential implications for policy, practice, and continuing study. The primary focus of these authors, all of whom are Global 2017 team members, is to trace and explain the qualitative research process applied by their full cohort as they uncovered and conceived what the team ultimately characterized as ‘the genetic code of public trust’, a new grounded theory meant to inform and guide those continuing policy and practice considerations in Canada and beyond.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".