Strengthening Democracy Through Knowledge Mobilization: Participedia – A Citizen-Led Global Platform for Transformative and Democratic Learning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Participedia is a collaborative, digital learning tool for the co-production of knowledge about new forms of citizen participation across the world ( www.participedia.net ). In this paper, we analyse using the platform as a learning resource for adult learners who are democracy practitioners and for undergraduate students. We examine Participedia’s role in advancing transformative civic and democratic learning, and situate our analysis in the current context of democracy and civic space under strain globally. We argue that this pedagogy is crucial in the face of democratic erosion, growing inequality, increased polarization and the rise of right-wing populism. We discuss how Participedia’s multiple channels for learner engagement (e.g., critical case study analysis, self-directed research, reflective writing, case study development based on lived experience, collaborative fellowships) support critical and reflective democratic practice. We show how the Participedia platform contributes to transformative learning outcomes, in particular around social action, active citizenship, participation and democracy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it