Spaces for Change?: The Politics of Citizen Participation in New Democratic Arenas
Bibliographic record
Abstract
* Foreword - John Gaventa * 1. Spaces for Change? The Politics of Participation in New Democratic Arenas - Andrea Cornwall and Vera Schattan P. Coelho * Part I: The Challenge of Inclusion ** 2. Brazilian Health Councils: including the excluded? - Vera Schattan P. Coelho ** 3. Spaces for participation in health systems in rural Bangladesh: the experience of stakeholder community groups - Simeen Mahmud ** 4. Gendered subjects, the state and participatory spaces: the politics of domesticating participation in rural India - Ranjita Mohanty ** 5. Social change and community participation: the case of Health Facilities Boards in the Western Cape of South Africa - John J. Williams ** 6. Civil organizations and political representation in Brazil's participatory institutions - Graziela Castello, Adrian Gurza Lavalle and Peter P. Houtzager ** 7. Inclusion and representation in democratic deliberations: lessons from Canada's Romanow Commission - Bettina von Lieres and David Kahane * Part II: The Politics of Institutionalised Participation ** 7. Negotiating participation in a Brazilian Municipal Health Council - Andrea Cornwall ** 8. Subverting the spaces of invitation? Local politics and participatory budgeting in post-crisis Buenos Aires - Dennis Rodgers ** 9. Participation, mutation and political transition: new democratic spaces in peri-urban Angola - Sandra Roque and Alex Shankland ** 10. Participation, mutation and political transition: new democratic spaces in peri-urban Angola - Sandra Roque and Alex Shankland ** 11. Citizen participation in South Africa: land struggles and HIV/AIDS activism - Bettina von Lieres ** 12. Whose spaces? Contestations and negotiations in health and community regeneration forums in England - Marian Barnes
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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 | 0.023 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.062 |
| Scholarly communication | 0.031 | 0.025 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".