Re-Imagining Research Partnerships: Thinking through "Co-research" and Ethical Practice with Children and Youth
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
Intentions to co-research and engage in participatory research pervade education and social science research with children and particularly research on engagement in digital spaces, with digital tools. Starting in the 1900s, there were many attempts to explicitly describe co-research methods and intentions in education but recently co-research has been used in a more taken-for granted way. Using snapshots from three research projects, I trouble my own attempts at co-research. Firstly, in a two-year ethnographic study, research positions were shifted by following the children’s lead and multimodal textmaking interests. Secondly, in an arts-informed classroom study of family photography and family stories, the ways in which the children understood the research process, and gave or withheld assent, influenced how they engaged as co-researchers. Finally, a larger comparative arts-informed study of youths’ digital practices in Hamilton is explored with an eye to how co-research evolved for the youth throughout the project. None of these projects were designed to engage with co-research in a comprehensive way. Yet, across these snapshots, a more nuanced understanding of co-research is envisioned; one that involves reflexive ethical practice and an emergent and attentive focus on consent.
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 | 0.010 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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