Projects “Journey” and “Sunset” build connections for positive community impact
Bibliographic record
Abstract
In 2011, the Office of the Chief Coroner for Ontario released the Death Review of the Youth Suicides at Pikangikum First Nation, 2006-2008 following an alarmingly high number of youth suicides that occurred in that community. Persistent social, health, infrastructure, economic, capacity, and governance deficits that exist contribute to vulnerability and atrisk behaviours among youth including crime, substance abuse, and suicide. The Ontario Provincial Police (OPP) sought ways and means to work to address these challenges in collaboration with communities. After securing funding support through Public Safety Canada, the OPP implemented an experiential youth development program called Project Journey, modelled after Project Venture, a program from the United States specifically designed for at-risk Indigenous youth. So promising are the results from Project Journey that a sister program, Project Sunset, came into being to help expand the proactive work with community partners. These OPP-led programs help address the root causes of youth crime, social disorder, and crisis. At the same time, they support relationship-building and community engagement, and empower individuals and community partners to take positive action for sustainable change.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".