Queer de-participation: reframing the co-production of scholarly knowledge
Bibliographic record
Abstract
This article critically examines the play of power in the co-production of scholarly knowledge in the context of a queer, feminist Participatory Action Research (PAR) project. By unpacking the power relations inherent in crafting a narrative of a collective project for a broader audience, we consider the conflicts, silences, and erasures that we experienced as participants, gatekeepers, and co-authors. We analyze iterations of a co-produced conference and journal article papers to recall the power dynamics that framed and reframed the outcomes of this project. In so doing, we critique what ‘co-’ and ‘with’ actually mean in the practice of publishing queer feminist PAR. We argue that there is an accelerating process of de-participation and exclusion that can work to erode the progressive, inclusive politics of feminist participatory methodologies.
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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 | 0.120 | 0.125 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.025 | 0.129 |
| Scholarly communication | 0.028 | 0.036 |
| Open science | 0.006 | 0.039 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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, 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".