Bibliographic record
Abstract
British Columbia Mental Health and Substance Use Services (BCMHSUS) provides mental health services, education, and health promotion initiatives to people with mental health and substance use issues across the province of BC. As a Project Coordinator in the Patient and Community Engagement portfolio, I performed a variety of work to support patient and family engagement under the newly created Patient Engagement Framework. Engaging patients and families as active participants and co-designers of their own care is an important component of patient-centred care that improves healthcare quality, health outcomes, and overall experiences of care at a system level. To work towards this goal, I developed a trauma-informed policy and procedure for BCMHSUS on patient and family engagement to serve as a guideline for giving patients and families a voice in the design and delivery of their mental health care. I also drafted two patient engagement playbooks called Managing Conflict and Respecting Emotions and Engaging Mandated and Incarcerated Patients, which focus on barriers and solutions to engaging patients in vulnerable circumstances. Moreover, I worked with provincial stakeholders to write the annual report for the BC Partners, which is a collaborative mental health promotion partnership between BCMHSUS and 7 provincial organizations with different mental health and substance use specialties (e.g. BC Schizophrenia Society, The Mood Disorders Association of BC, Canadian Institute for Substance Use Research, etc.). I also performed a literature review of the evidence supporting family engagement in patient- and family-centred care, and I made infographics and other visual designs to translate research and knowledge in visually appealing ways. Overall, my practicum helped me contribute towards advancing public mental health by valuing patients' knowledge, skills, and lived experience in the health system and working on a variety of initiatives to promote mental health in the province.
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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 | 0.018 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.072 | 0.011 |
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".