Deepening our understanding: Collaboration through online peer-to-peer participatory action research with children
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
Child-led research is growing globally, yet there are still limitations for children's leadership in all phases of research. This article, co-written with adult and child researchers, examines child-led research undertaken online with 9 children from Ontario and Quebec over a one-year period. The article explores the process of participating in and collaborating on an online peer-to-peer participatory action research project from the brainstorming stage to recruitment, design, data collection, analysis, and dissemination of knowledge. While much literature exists on older children and youth leading research, this research provides a unique contribution to the literature on the possibilities of creating space for children ages 11 to 14 to lead research. This article finds that the child researchers most valued: (1) Play and fun; (2) Engaging in new experiences; and (3) Learning. The article concludes that child-led research is feasible, and it can create better research and provide a transformative opportunity for child and adult researchers.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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