Nurse practitioner-led school-based health centre with a mental health focus
Bibliographic record
Abstract
In Canada, mental illness (MI) affects one in five people. Adolescents in Canada are not left unaffected; up to 1 million children and youth suffer with MI, with only a quarter of those actually receiving appropriate care. Although positive mental health (MH) and early intervention for poor MH and MI are known to increase resiliency and provide protection against negative effects caused by MI, reduced access to MH care for adolescents across Canada, and in particular Prince Edward Island (PEI), is a well-known problem. Long wait times, shortages of healthcare professionals, ongoing stigma, and an increasing number of individuals presenting with poor MH or MI, have left adolescents on PEI with limited access to MH care. The introduction of MH care in schools is a promising approach to help combat this global concern. Nurse practitioners provide efficient care, are cost effective, and have shown to be competent in providing optimal care in primary healthcare settings, within the school system, and within MH care settings. This initiative, a 1-year pilot project, seeks to implement an NP-led school-based health centre with a MH focus into a Kensington high school, with the goal of increasing access to MH care for youth on PEI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 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".