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Record W1814526091 · doi:10.3968/6469

Study on the Modernization of Government Administration System From Restricting Conditions, Power Distribution and Dynamic Mechanism

2015· article· en· W1814526091 on OpenAlexvenueno aff
Chao Wang

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryAdministration (probate law)Government (linguistics)DecentralizationState (computer science)Power (physics)Mechanism (biology)Distribution (mathematics)Function (biology)Economic systemLocal governmentBusinessPublic administrationEconomicsPolitical scienceMarket economyEconomic growthLawComputer science

Abstract

fetched live from OpenAlex

The modernization of government administration system is the important foundation and approaches to that of the state. From the dimension of administration, the modernization of government administration system is embodied in three aspects: sticking to its restricting conditions, improving its mechanism of power distribution and unearthing its dynamic sources. Recognize and adhere to the market’s decisive function, respect social autonomous rights, so we can form a benign interaction of the government, market and society. Improve the legal power centralization of central government and the administration rights decentralization of the local government, so we can make the rational allocation of rights between central government and local government. Adhere to the combination of the dynamic of top-down and bottom-up, so we can deep mine the dynamic source of the government administration system.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.061
GPT teacher head0.407
Teacher spread0.346 · 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 designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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