Young People’s Attitude Toward Positive Psychology Interventions: Thematic Analysis
Bibliographic record
Abstract
BACKGROUND: Digital instantiations of positive psychology intervention (PPI) principles have been proposed to combat the current global youth mental health crisis; however, young people are largely not engaging with available resources. OBJECTIVE: The aim of this study is to explore young people's attitudes toward various PPI principles to find ways of making digital instantiations of them more engaging. METHODS: We conducted an explorative workshop with 30 young people (aged 16-21 years). They rated and reviewed 29 common PPIs. Ratings and recorded discussions were analyzed using thematic analysis. RESULTS: Some interventions were conflicting with young people's values or perceived as too difficult. Participants responded positively to interventions that fit them personally and allowed them to use their strengths. CONCLUSIONS: Values, context, strengths, and other personal factors are entangled with young people's attitudes toward digital instantiations of PPI principles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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; both teacher heads agree on what is shown here.
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".