Education and Social Innovation: The Youth Uncensored Project—A Case Study of Youth Participatory Research and Cultural Democracy in Action
Bibliographic record
Abstract
This article discusses social innovation in education informed by arts-based and Indigenous ways of knowing. I use the term Indigenous to refer to First Peoples’ and their wisdom traditions from places around the world and the term Aboriginal to refer to the diverse First Nations, Metis, and Inuit peoples of Canada. The article looks at the ethical imperative for doing socially innovative work, and examines practices with potential for embedding social innovation in educational scholarship, including experiential and relational educational approaches, such as community-service learning and restorative justice; participatory action research as an allied research approach; and community arts framed as cultural democracy. It describes a research project with street-involved youth as a case study for research that moves toward social innovation through the Government of Canada Policy Research Initiative’s five steps involved in a co-creative social innovation project.
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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 | 0.019 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.022 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| 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".