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Record W2784067893 · doi:10.3968/9998

Comparison of Administrative Charge Systems in Main Countries and Regions in the World

2017· article· en· W2784067893 on OpenAlexvenueaboutno aff
Xi Liu

Bibliographic record

VenueCanadian social science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsCharge (physics)ChinaPoliticsGovernment (linguistics)Power (physics)VirtuePolitical sciencePublic administrationLaw and economicsLawEconomicsPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

At present, “arbitrary charge” problem remains rather serious in China. Many regions and units continually violate national regulations to randomly increase charge items and elevate charge standards under a jumble of names and with excessively high criteria. In essence, administrative “arbitrary charge” is the illegal expropriated action performed by main administrative subjects by virtue of coercive administrative power to deprive the property right of administrative counterparts in specific conditions. “Arbitrary charge” is not only an economic problem, but also a grave political problem, legal problem and social problem. As a result, normalizing administrative charge becomes an urgent problem to be solved in China now. In most countries across the world, administrative charge is an extremely important charge item for government departments. This thesis will mainly introduce the administrative charge systems in America, Canada, Germany, Britain, Singapore and Finland and expect to draw useful references for the specification of administrative charge in China.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.117
GPT teacher head0.422
Teacher spread0.306 · 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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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