Youth-identified Considerations for Programming to Support Newcomers’ Healthy Development: A Group Concept Mapping Study
Bibliographic record
Abstract
Abstract Background There is a well-documented need for more responsive promotion and prevention programming for young immigrants and refugees in the context of mental health and healthy development. Incorporating the voice of newcomers in the development of promotion and prevention efforts could assist in producing culturally-relevant materials and improve program outcomes. Objective Our goal was to utilize youth voice to identify considerations for developing programming to support newcomer youths’ healthy development. Methods We employed mixed methods and analyzed data using concept mapping. A total of 37 newcomers between the ages of 14 and 22 participated in focus groups to share their ideas for creating programming that would focus on relationships and well-being. Relevant responses were collated, cleaned, and generated into unique statements, and then sorted individually by 26 youth into thematically similar categories. We used multidimensional scaling and hierarchal cluster analysis to produce a concept map. Results Six concepts, in rank order of importance, emerged as follows: create a space for sharing; discuss relational issues; teach strategies for adjusting to a new country; teach wellness skills; have feel-good activities; and plan for diversity. Conclusions Participants’ lived experience and their own attendance in programming at newcomer organizations assisted them in brainstorming what types of activities, topics, and skills would be helpful for other newcomer youth, as well as considerations for facilitators implementing such programming. Promotion and prevention efforts intended for newcomer youth may benefit by incorporating ideas from the concept map.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".