Behind the Scenes of Youth-led Community Events: A Participatory Evaluation Approach Using Photovoice in a Canadian First Nation Community.
Bibliographic record
Abstract
Abstract Challenges created by colonial policies have created a range of negative impacts on the health and well-being of First Nations, Mtis and Inuit (FNMI) youth. Research examining leadership programming for FNMI youth has begun to demonstrate positive impacts. Participatory evaluation aligns with the philosophy of leadership programming and has the potential to promote multiple benefits for the youth and community within FNMI context. The purpose of this research was to implement a participatory evaluation examining youth-led community events within a leadership program for FNMI youth. The data was collected using methods based on youth participatory evaluation principles and Photovoice practices including capacity building, stakeholder analysis, photo exploration and utilization-focused activities. A thematic analysis was used to examine the data and five themes were identified: (a) fun and fulfilling to engage the children, (b) positive outcomes for youth leaders, (c) community impacts, (d) challenges and (e) opportunities for improvement. This study applies a novel approach that combines Youth Participatory Evaluation and Photovoice to examine a youth leadership program for FNMI youth. The procedures and the results regarding program impacts and implementation issues are relevant for research and evaluation in programming for FNMI youth, as well other youth-led programs. Keywords: Leadership; Youth engagement; Positive youth development; Program evaluation; Indigenous; Aboriginal
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.020 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".