Youth perspectives on community health in Nunavik: a community-engaged photovoice project
Bibliographic record
Abstract
OBJECTIVE: The overall objective of this study was to elicit understandings of community health among Inuit youth aged 12-18 in the region of Nunavik, northern Quebec, through identifying community conditions supporting health from their perspective and exploring how they conceptualize a healthy community. METHODS: In January and February 2020, 51 secondary students from three communities participated in a 1-week participatory photovoice activity during regular class time. Youth participated in three different sessions dedicated to the ethics of taking photographs, taking photos in the community, and group discussions of photographs. Discussions were analyzed via thematic analysis and validated with the youth in the fall of 2020. RESULTS: Twelve key community conditions supporting health were identified: family, food, culture, language, sense of community belonging, land, housing, services, community, connection, caring and somewhere to go. The youth understood a healthy community to be a place where "nothing was broken" and where community conditions supporting health could be visualized like the rocks in an inuksuk, a stone cairn used by Inuit for wayfinding on the tundra landscape. Participants chose the human form of inuksuk which has become widespread in northern and southern Canadian popular culture. CONCLUSION: Findings from this study serve to confirm and strengthen existing models of Inuit health while also raising fresh perspectives and concepts relevant to the younger generation. Images and words of the youth identified in this study may be important in designing effective health promotion strategies that are accessible and relevant to younger generations, thus responding to an important research, programmatic and policy gap.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| 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".