Place-based partnerships serving the most vulnerable youth that have complex health and social needs.
Bibliographic record
Abstract
Background: Place-based partnerships serving the most vulnerable youth ages 6-24 in our community that have complex health and social needs and are experiencing homelessness. Approach: The Whole of Community System Response initiative for Health and Homelessness in London, Ontario, is a locally-driven transformational effort. The Hubs implementation plan was developed by over 200 individuals from 70 organizations across various sectors, including community health, social services, healthcare institutions, education, emergency services, business, government, and more. Through extensive community engagement, which garnered thousands of inputs, the initiative was shaped by the voices of Londoners, particularly those with lived experience. This collaborative process led to the establishment of a hub by Youth Opportunities Unlimited (YOU) on London Health Sciences Centre (LHSC) hospital property and is now the partnership is extending beyond hospital grounds to other YOU locations. By co-locating expertise from both organizations, marginalized youth gain access to tailored medical, social, and housing support, fostering progress towards a fulfilling life aligned with their values. Using Kotter change management principles and user-centric design methodology, our partnership evolves from pilots of exploration and mobilization into operation this Fall 2024. Results: Through our ) current exploration and pilot of a place-based partnership improving access to tailored and specialized mental health therapy in the community and 2) the planning and construction of a youth homeless hub on hospital property, we expect to facilitate person-centered care, accessibility, and address barriers to care while enhancing health equity. This partnership promotes better coordination and delivery of services across the health and social sectors, fostering collaboration and optimizing each other's resources while extending impact. Implications: This oral paper will generate valuable insights into the intricacies of place-based partnerships, informing policy, legal, communication, and community engagement strategies. These efforts aim to address the unique needs of youth while enhancing collaboration between organizations and sectors, ultimately contributing to more effective and sustainable solutions in the community.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".