THE CORE CONNECTORS INITIATIVE: DEVELOPMENT OF A YOUTH MENTAL HEALTH PROGRAM
Bibliographic record
Abstract
This paper provides an overview of the development and field-test evaluation of a group-based youth mental health promotion program known as the Core Connectors Initiative (CCI). CCI is a program that aims to help youth gain mental health knowledge and peer support competencies, and reinforce positive help-seeking behaviour. The purpose of the study was to evaluate and refine CCI by examining whether it attains its training objectives of mental health literacy, gatekeeper training, and fostering positive youth development, while exploring helpful and unhelpful participant experiences of the program. CCI was field-tested during the latter half of the 2017/2018 school year at 3 different locations: a private school, a community centre, and a public school. Using mixed methods, the evaluation yielded information on the strengths and areas of growth for future program development. The quantitative data were collected from a sample of 29 youth, while the qualitative data were collected from 9 youth using the Enhanced Critical Incident Technique. The converging data highlight the importance of connection, the value of critical mental health literacy, and the importance of clarifying expectations. The lessons learned from implementing this program can be applied to other youth mental health promotion programs.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".