(Dis)connected by design? Using participatory citizen science to uncover environmental determinants of social connectedness for youth in under-resourced neighbourhoods
Bibliographic record
Abstract
BACKGROUND: Social isolation and loneliness are a growing public health concern. Inadequacies in neighbourhood social infrastructure can undermine social connectedness, particularly for youth, who are dependent on their local environments yet often marginalized from public spaces and city planning. Integrating citizen science with participatory action research, the Youth.hood study set out to explore how neighbourhood built environments help or hinder social connectedness from the understudied perspective of youth in under-resourced and racialized communities. METHODS: Youth (n = 42) from three neighbourhoods in Vancouver, Canada were recruited to: (1) Assess environmental assets and barriers to connectedness in their neighbourhoods using a digital photovoice app; (2) Analyze and prioritize their collective data into themes; and (3) Design and advocate for environmental improvements through a participatory workshop and forum with residents, city planners, and elected officials. Data on participant characteristics and neighbourhood perceptions were collected via an online survey and analyzed descriptively. Participatory analysis was conducted with youth using methods from thematic analysis, photovoice, and design thinking. RESULTS: Youth captured 227 environmental features impacting their connectedness. The most frequently reported assets were parks and nature (n = 39, 17%), including formal and informal green spaces, and food outlets (n = 25, 11%). Top barriers included poor neighbourhood aesthetics (n = 14, 6%) and inadequate streets and sidewalks (n = 14, 6%). Thematic analysis with youth underscored four themes: (1) Connecting through mobility: The fun and functionality of getting around without a car; (2) The power of aesthetics: Mediating connections to people and place; (3) Retreating to connect: Seeking out social and restorative spaces for all; and (4) Under-resourced, not under-valued: Uncovering assets for sociocultural connection. Youth described their local environments as affording (or denying) opportunities for physical, emotional, and cultural connection at both an individual and community level. CONCLUSION: Our findings extend evidence on key environmental determinants of social connectedness for youth, while highlighting the potential of community design to support multiple dimensions of healthy social development. Additionally, this work demonstrates the resilience and agency of youth in under-resourced settings, and underscores the importance of honouring assets, co-production, and intergenerational planning when working to advance healthy, connected, and youthful cities.
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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 | 0.014 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".