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Record W2890271616 · doi:10.3968/10397

The Core of Constructing World-class Universities in China is to Cultivate First-Class Talents

2018· article· en· W2890271616 on OpenAlexvenueno aff
Hui Yu, Zhongqiu Zhang

Bibliographic record

VenueHigher education of social science · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsnot available
Fundersnot available
KeywordsChinaClass (philosophy)Position (finance)Government (linguistics)Core (optical fiber)Process (computing)Software deploymentQuality (philosophy)Political scienceWorld classPublic relationsSociologyBusinessEconomic growthMathematics educationEngineeringComputer sciencePsychologyEconomicsLawFinance

Abstract

fetched live from OpenAlex

Based on a systematic review of new deployment and new requirements from the Chinese government of higher education in the new situation, the article deeply analyzes the important position, the difficulties and reform measures of talent cultivation in recognized world-class universities. The research points out that the core of the construction of the first-class universities in China’s universities is to cultivate first-class talents. From three aspects of enrollment, cultivation and employment, the article clarifies the development path of first-class talents, focusing on the core link of talent-cultivation process. According to the needs of the country and the new era, the target and positioning of talent cultivation need to be adjusted, the cultivation program based on the change of educational concepts needs to be reconstructed, and implementation of the program needs to be ensured by deepening the reform of the teaching management mode and the reform of education and teaching methods, hence, improving the quality of the talent cultivation.

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)0.000
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: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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
Published2018
Admission routes1
Has abstractyes

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