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Record W2104953918 · doi:10.5430/bmr.v1n4p26

Strategies of the Pay-TV in Government Administration

2012· article· en· W2104953918 on OpenAlexvenueno aff
Fanbin Zeng, Jinkai Zhang

Bibliographic record

VenueBusiness and Management Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
FundersMinistry of Education of the People's Republic of China
KeywordsGovernment (linguistics)Administration (probate law)LegislationMarketizationOrder (exchange)BusinessMarket failureInstitutionMarket economyMarket mechanismEconomicsPublic administrationPublic economicsEconomic policyFinanceChinaLawMicroeconomicsPolitical science

Abstract

fetched live from OpenAlex

China’s radio and television has always been an industry with strong policy, as a field of which the government strictly controls. At present, the special status of broadcast industry which should take account for both public interests and marketization is affected by the policies due to the nature of institution and enterprise management. Digital pay-TV as a part of broadcast industry cannot be exclusive. The government administration is defined as “a series of management and regulation behaviors which legal regulatory agencies are relatively independent as well taken by administrators (mainly enterprise) according to certain laws and regulations”. The purpose of such restriction is to overcome market failures to maintain a favorable environment for a normal economic development. Government administration of digital pay-TV refers to government manage and control the premium channels in the means of economy, legislation, and administration in order to overcome or compensate the failure of market mechanism in resource allocation to ensure the reasonable allocation of market interests. Government’s role is to create a more rational policy environment strengthening the management and standard to the market, increasing the intensity of macroeconomic regulation, to create a favorable external environment for premium channels. However, the administration is not so satisfying that in the following it will be analyzed.

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)0.001
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 score0.985
Threshold uncertainty score0.093

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 science0.0000.000
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 head0.084
GPT teacher head0.398
Teacher spread0.314 · 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
Published2012
Admission routes1
Has abstractyes

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