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Record W4312312290 · doi:10.31857/s2686673022010084

Mechanisms for Implementing Projects Initiated by Civil Society at the Local Level in the United States and Canada

2022· article· en· W4312312290 on OpenAlexaboutno aff
Tischenko Tatyana

Bibliographic record

VenueUSA & Canada Economics – Politics – Culture · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyDemocratizationParticipatory budgetingPublic administrationConsolidation (business)Citizen journalismPolitical scienceLocal governmentPublic participationPublic relationsBusinessFinanceDemocracy

Abstract

fetched live from OpenAlex

Civic initiatives are seen as a critical tool for democratization of public administration, expanding opportunities for public participation in decision-making processes and their implementation. Governments at all levels use various mechanisms to support civic initiatives, which do not always lend themselves to a single classification, which makes it relevant to conduct a comparative analysis of individual countries. The main object of the study is the interaction between local governments and civic communities, the subject of the study is the approaches to managing initiative projects implemented on the basis of both participatory budgeting and related practices in the United States and Canada. The article analyzes the experience of involving people and public organizations in the processes of allocating funds from local budgets, budgets of public corporations, or specialized funds. The models of civil society participation depending on the sources of funding and mechanisms of implementation of initiative projects are revealed. It is concluded that the permanent nature of support has led to the consolidation of the civil community and the expansion of their influence on the management of municipal finances.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.285
Teacher spread0.235 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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