Micropolitics in Participatory Processes: The Impact of Ableism and Other ‘Hidden’ Power Structures on Equitable Participation and Outcomes
Bibliographic record
Abstract
Theoretical understandings of micropolitics and ableism provided a framework to analyze power relations and their impacts in a participatory design process. Micropolitics allowed a focus on small scale interactions and relational processes that impact outcomes of participation, and revealed the importance of problem framing and coalition building. We also found resistance to ableism through micropolitical strategies including: the sharing of experiential narratives; the use of expressive communication styles; and the development of alliances. These helped challenge norms of ableism in the deliberative process. Suggested practices for planners and facilitators who want to intervene in status quo ablest practices are identified.
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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 | 0.031 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.029 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".