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Record W2904688488 · doi:10.1017/lap.2018.58

“It Was Once a Radical Democratic Proposal”: Theories of Gradual Institutional Change in Brazilian Participatory Budgeting

2018· article· en· W2904688488 on OpenAlexaff
Françoise Montambeault

Bibliographic record

VenueLatin American Politics and Society · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBlueprintLegislationCitizen journalismPoliticsPolitical scienceDemocracyRhetoricParticipatory budgetingPublic administrationState (computer science)Political economySociologyLaw

Abstract

fetched live from OpenAlex

Abstract Because of its early positive assessments, participatory budgeting (PB) has been and continues to be praised by several policymakers, and the Brazilian model has become an institutional blueprint around the world. No one questions the way the model has evolved in Brazilian municipalities with a long tradition of PB, but it was institutionalized there through practice and not through state legislation. It is thus highly permeable to political will and evolving ideas. Looking at the case of Belo Horizonte, where it was implemented in 1993, this study argues that while the political rhetoric of PB has remained central to political discourse over time, a significant but gradual policy change has occurred in practice. This change has important implications: not only does it have an impact on the policy outcomes of PB, but it also contributes to delegitimating the process for its participants, abetting its gradual deinstitutionalization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0070.055
Scholarly communication0.0080.009
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.030
GPT teacher head0.330
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2018
Admission routes1
Has abstractyes

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