Doing youth participatory action research (YPAR) with Bourdieu: An invitation to reflexive (participatory) sociology
Bibliographic record
Abstract
Recent years have seen an increased epistemological and methodological interest within sociology in participatory research. Seen as one mode by which to upturn the apparent antagonism between ‘town’ and ‘gown’, and as a pragmatic way to render sociology more ‘public’, participatory research seems to offer resolutions to some of the field’s more pressing recent concerns. It also appears to provide redress to continuing institutional pressure to establish ‘impact’ for our research. This article offers a close and theoretically informed examination of the assumptions and practices of youth participatory action research, or YPAR, in order to contribute to deepened disciplinary understandings of the possibilities and limits of participatory approaches. Framed by the reflexive sociology of Pierre Bourdieu, we draw upon cross-national conversations through which we have intentionally reflected on moments of ambivalence or discomfort in our own participatory research practice(s). We utilise these to engage critically with some recurring problems in YPAR, suggesting these also have relevance to sociological enquiry more broadly. Our collaborative process of mutual reflexivity, developed through walking and talking together, writing individually and then providing feedback and clarifications, has allowed us to deepen our understanding of the power dynamics at play in participatory sociological enquiry.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | Metaresearch Domain: Methods · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
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 | 0.095 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".