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Record W2359242361

The Research of Macroeconomic Regulation and Control at Present

2008· article· en· W2359242361 on OpenAlexaboutno aff
Zhu Qing-tang

Bibliographic record

VenueJournal of Zhengzhou Institute of Aeronautical Industry Management · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ChinaEconomic statisticsWork (physics)Overheating (electricity)Control (management)Inflation (cosmology)Economic dataEconomic indicatorContext (archaeology)EconomicsOfficial statisticsEconomic policyEconomic growthMacroeconomicsPolitical scienceEngineeringGeographyManagementStatistics
DOInot available

Abstract

fetched live from OpenAlex

Over the past ten years and more,China have held a central economic work conference at the end of every year,fine-tune development strategies in time,and ensure stable and healthy operation of the economy.The central economic work meeting came to a close on December 5,2007.The meeting proposed to prevent the economy from overheating and inflation significantly in 2008,which will become the primary task of macroeconomic regulation and control.The National Bureau of Statistics released the key data of the first quarter of China's national economic operation on April 16,2008.This paper from the key data of the first quarter of China's national economic operation released by the National Bureau of Statistics to study.Would the central economic work conference objectives be to achieve ? In the context of the first quarter data,what macro-control policies can we take to ensure stable and healthy economic operation.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.009
Scholarly communication0.0070.005
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.276
Teacher spread0.231 · 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 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
Published2008
Admission routes1
Has abstractyes

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