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Record W2064287878 · doi:10.1109/icpim.2011.5983633

Research on promoting transportation administrative law enforcement team building

2011· article· en· W2064287878 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsLaw enforcementChinaEnforcementBusinessAdministrative lawFace (sociological concept)Tax lawTransport engineeringPublic administrationLawPolitical scienceFinanceEngineeringSociologyDouble taxation

Abstract

fetched live from OpenAlex

With the arrival of the critical period of reform and development, profound changes are taking place in economic system, social institutions, the pattern of interests and ideas in China. Facing the new and complex situation, particularly the impact on the transport brought by the oil price and tax reform, law enforcement agencies, personnel, funding channels, and development pattern in transportation chief law enforcement ranks also face unprecedented opportunities and challenges. Based on the national survey results, this essay will introduce the construction situation and status of traffic law enforcement in China, deeply analyze and reflect the main problems and causes, and put out ideas for our future transport administrative law enforcement team building through specific measures and suggestions.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.248

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.166
GPT teacher head0.377
Teacher spread0.211 · 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

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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