Mental health system change
Bibliographic record
Abstract
Mental health is the psychological wellness of a person. Currently, mental health illnesses are treated by hospital and community. Due to the transition of this system from psychiatric institutes, the hospital and community are not necessarily well connected. It is essential that the hospital and community are connected since patients need to feel supported by their community at all stages of their recovery in order to make a network of wellness. In order to tackle the problem of connecting the hospital and community for the personal recovery of people with severe mental illness, my team, Re-MIND London, proposed an innovative solution suite, involving: a liaison between community and hospital; a shared menu of resources; information sharing through education and samplers; having patients engage on community outings; and providing peer mentor support. In installing this solution, we have re-kindled connection between Parkwood Institute for Mental Health and the Canadian Mental Health Association in London, ON, at an administrative level, as well as staffer and patient level. Patients report that they need to feel like they in the community to have hope towards a proper discharge plan. In installing sections of this innovative solution, our team learned self-empowerment to challenge the existing system, regardless of our position. We are connecting, at many levels, diverse individuals and organizations to leverage their strengths to form a strong and sustainable partnership that will insulate people with mental illness in a community throughout treatment.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.086 | 0.007 |
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".