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Comparison of Performance Budget and Traditional Budget

2010· article· en· W1853000885 on OpenAlexvenueno aff
Cong-qin Zeng

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceTransparency (behavior)Government (linguistics)Government budgetWelfare economicsHumanitiesAccountingBusinessPublic financeEconomicsArtPhilosophyLaw

Abstract

fetched live from OpenAlex

With the development of marketing economy and legal system construction, people are paying more and more attention to the transparency, structure and the effectiveness of government finance. Information supplied by Government Budget Accounting provides the best way according to which people supervise and judge the government’s performance. But current Government Budget Accounting has shortcomings in theory foundation. So it’s very urgent to promote reforms on it. This article mainly introduces the difference between the new performance budget and the traditional budget. Key words: Performance budget, Traditional budget, Comparison Resume: Avec le developpement de l’economie de marche et la construction du systeme legal, on prete plus d’attention a la transparence, la structure et l’efficacite des finances gouvernementales. Et les informations fournies par la Comptabilite de Budget du Gouvernement sont importantes, car on peut superviser et juger, d’apres ces informations, la performance du gouvernement. Mais la Comptabilite de Budget du Gouvernement en cours manifeste des defauts dans la fondation theorique. Donc il est urgent d’effectuer la reforme en ce domaine. L’article present introduit principalement les differences entre le nouveau budget de performance et le budget traditionnel. Mots-Cles: budget de performance, budget traditionnel, comparaison

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.232
Teacher spread0.216 · 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.

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".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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