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Citizens’ Budget and Local Community: An Insight from Czestochowa

2020· article· en· W3042455902 on OpenAlexaff
Beata Ślusarczyk, Aneta Herbuś

Bibliographic record

VenueJurnal Pengurusan · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Fiscal Studies
Canadian institutionsScience North
Fundersnot available
KeywordsParticipatory budgetingTransparency (behavior)Local governmentCitizen journalismBudget processUnit (ring theory)Political sciencePublic administrationGovernment (linguistics)Public relationsBusinessPoliticsLawDemocracy

Abstract

fetched live from OpenAlex

Participatory budget (citizens’ budget) is a relatively new tool used in municipalities to activate the local community. It allows citizens to be involved in the direct decision-making process. These decisions concern mainly the division of budget funds into the most beneficial tasks from the point of view of social development. Citizens’ budget should be fitted to each local government unit, and then be executed in accordance with the previously defined implementation scheme. The aim of the study is to indicate the advantages of using citizens’ budget both from the point of view of local government authorities and individual citizens in Częstochowa. Częstochowa, as the leader of citizens’ budget, is recognizing the residents’ contribution as a co-deciding unit for the distribution of budget funds. It has been using this tool for several years to strengthen social relations. In order to confirm the essence of the participatory budget, in terms of proper relations between local authorities and citizens, the study was carried out a detailed analysis of documents obtained from the City Hall of Częstochowa and professional reports devoted to this subject. The most important advantages pointed out in the use of a participatory budget are social integration, transparency, citizens' identification with the specific territory, increase in the level of trust among citizens and good citizen-official relationship. The study also presents individual formal steps, which need to be taken to introduce the examined phenomenon in a local government unit. Keyword: citizens’ budget, participatory budgeting, local community, Częstochowa ABSTRAK Penglibatan belanjawan (belanjawan rakyat) merupakan pendekatan baru yang digunakan oleh majlis perbandaran bagi mengaktifkan masyarakat setempat. Ia membolehkan warganegara terlibat dalam proses membuat keputusan secara langsung, terutamanya dari segi peruntukan dana belanjawan kepada aktiviti paling bermanfaat dari sudut pembangunan sosial. Belanjawan rakyat harus disesuaikan mengikut daerah, dan kemudian dilaksanakan berdasarkan skema pelaksanaan yang telah ditentukan sebelumnya. Kajian ini bertujuan melihat kelebihan teknik belanjawan rakyat dari sudut pandangan pihak berkuasa tempatan dan warganegara Częstochowa. Częstochowa, sebagai peneraju belanjawan rakyat, menyedari sumbangan warganegara sebagai unit penentu bersama bagi pengagihan dana belanjawan. Częstochowa telah menggunakan pendekatan ini selama beberapa tahun dalam mengeratkan hubungan sosial. Bagi mengesahkan kandungan belanjawan rakyat dalam konteks hubungan antara pihak berkuasa tempatan dan warganegara, analisis terperinci telah dilaksanakan terhadap dokumen yang diperoleh dari Dewan Rakyat Częstochowa dan laporan profesional. Kebaikan utama pendekatan belanjawan rakyat adalah tercetusnya integrasi sosial, ketelusan, identifikasi warganegara dengan wilayah tertentu, peningkatan tahap kepercayaan di kalangan warga negara dan hubungan baik antara warga negara dan kerajaan. Dapatan kajian juga menyenaraikan langkah-langkah formal individu yang perlu diambil kira dalam memperkenalkan fenomena kajian dalam unit pemerintah daerah. Kata kunci: Belanjawan rakyat; belanjawan partisipatif; masyarakat tempatan; Częstochowa

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.007
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.069
GPT teacher head0.223
Teacher spread0.155 · 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 designObservational
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".

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Citations4
Published2020
Admission routes1
Has abstractyes

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