Race, Citizenship and Participation: Interrogating the Racial Dynamics of Participatory Budgeting
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
Abstract This article uses participatory budgeting as an entry point to explore the relationship between race, citizenship, and participatory democracy. Drawing on theories of racial neoliberalism, I arguethat in Chicago (United States), heavy emphasis on the representation of Black and Hispanic residents has been based on simplistic demographic measures of diversity. This focus obfuscates morecomplex racial dynamics that limit involvement for residents whoare racialized and/or undocumented. The use of participatory budgeting as a politicalbranding tool closely ties the reputation of the local elected officialto the success of the process in engaging diverse constituents. This curtails the motivation of elected officials to address theshortcomings of the process openly. Detailed examinationof the racial dynamics of participatory budgeting in Chicagosuggests the need to push beyond representative approaches toracial inclusion to challenge structural inequities.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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