Foundry, the British Columbia Integrated Youth Services Initiative: Sharing Lessons From a Decade of Innovation
Bibliographic record
Abstract
Youth in Canada are experiencing mental health and substance use challenges at alarming rates. One response to address these concerns that has received considerable provincial/territorial, federal and philanthropic support is Integrated Youth Services (IYS). The British Columbia (BC) IYS initiative, called Foundry, is quickly approaching its 10-year anniversary, with the original proof-of-concept centre having opened in 2015. With 47,000 unique youth attending over 320,000 visits from April 2018 to March 2024 and with 17 operating physical centres (additional 18 in development) and a provincial virtual service, Foundry is filling a gap for youth mental health and substance use services in BC. In this article, we look back at the development of Foundry, share lessons for jurisdictions pursuing their own IYS initiatives, outline the vital role of policy makers in progressing IYS in Canada and look ahead to the next phase of IYS.
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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 | 0.030 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.025 | 0.021 |
| Scholarly communication | 0.025 | 0.009 |
| Open science | 0.006 | 0.018 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".