Navigating Complexity: Ethical and Methodological Insights from a Trauma-Informed Participatory Action Research Study with Young People in Sport for Development
Bibliographic record
Abstract
Participatory action research (PAR) has been increasingly used in sport for development research due to its potential to challenge hegemonic forms of knowledge production within sport contexts. Drawing on the youth and feminist action literature, we explore the methodological and ethical challenges of conducting participatory research as young academic researchers collaborating with young coaches as community collaborators. This article calls for greater transparency in how researchers conduct YPAR, whether it is youth-centred or youth-led, and underscores the utility of a feminist lens and trauma- and violence-informed framework in grounding critical reflexivity throughout the research process. These contributions aim to advance ethically grounded, trauma-informed action research projects with young people in sport and physical activity settings.
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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 | 0.177 | 0.152 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.030 | 0.063 |
| Scholarly communication | 0.027 | 0.013 |
| Open science | 0.004 | 0.027 |
| Research integrity | 0.008 | 0.011 |
| 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".