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Record W1545867454 · doi:10.3968/6499

Study on Higher Education Fund Guarantee System of the Communist Party of China (CPC) in Yan’an Period

2015· article· en· W1545867454 on OpenAlexvenueno aff
Ying Zhong, Yanqiang Cui

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsVictorySubsidyCollectivismCommunismGovernment (linguistics)ChinaPeriod (music)Relation (database)IndividualismPolitical sciencePublic administrationEconomic systemBusinessEconomicsLawPoliticsComputer science

Abstract

fetched live from OpenAlex

With the institutionalism theory as the breakthrough point, this paper analyses the composition and functional characteristics of the CPC’s higher education fund guarantee system in Yan’an period. According to the document analysis and historical data investigation, it is thought in this paper that the CPC’s higher education fund guarantee system in Yan’an period was actually composed of the subsystems of the following three levels: government subsidy system, school production system and social contribution system. Thought they had different significance, they all had the functions of helping to realize the higher education for the people in Yan’an, strengthening the relation between the government and the colleges, weakening the individualism and strengthening the collectivism, which provided sufficient talents for the ultimate victory of the CPC’s revolution.

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)0.001
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: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.366
Teacher spread0.309 · 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
Published2015
Admission routes1
Has abstractyes

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