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Record W2607055506

Innovation on Social Transformation and Government Management

2017· article· en· W2607055506 on OpenAlexvenueno aff
Qiaoshan Liu

Bibliographic record

VenueStudies in sociology of science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)BusinessEconomic systemOrder (exchange)Function (biology)ConsciousnessGovernment revenueChinaManagement systemPublic financeUrbanizationRevenueEconomicsEconomic growthFinancePolitical scienceManagement
DOInot available

Abstract

fetched live from OpenAlex

It has been proved that a strong bond exists between social transformation and government management. Therefore, the huge social transformation that China is currently undergoing has inevitably caused serious impact on the development of government management. Nowadays, it’s essential for the government to build up efficient, incorruptible, public interest oriented modern government management system in accordance with the requirement from the development of socialist economic system in order to make their people show more confidences and trust in them. There are new aspects on the social transformation which has been occurring in consciousness, environment, system, and urbanization and innovations. Transformations above all have triggered on government management innovations that happen function transferring, separation from enterprises, changing in working methods and styles, and structure optimization of financial revenue and expenditure.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.022
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.066
GPT teacher head0.325
Teacher spread0.259 · 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 designNot applicable
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 routes1
Has abstractyes

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