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Record W2521668417 · doi:10.5539/hes.v6n4p54

The Variation of Universally Acknowledged World-Class Universities (UAWCUs) between 2010 and 2015: An Empirical Study by the Ranks of THEs, QS and ARWU

2016· article· en· W2521668417 on OpenAlexvenueno aff
Lu Liu, Zhimin Liu

Bibliographic record

VenueHigher Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceReputationRanking (information retrieval)World classGovernment (linguistics)CertaintyInternationalizationHigher educationClass (philosophy)Political scienceSociologyBusinessSocial scienceComputer scienceMathematicsEngineeringInternational trade

Abstract

fetched live from OpenAlex

<p>Due to certainty recognition in ranking systems, the commonly included top 100 universities are regarded as the Universally Acknowledged World-Class Universities (UAWCUs). From three university rankings-THEs, QS and ARWU from 2010 to 2015, the following conclusions can be drawn from this study: Firstly, 56 universities are commonly ranked in the top 100 by THEs, QS and ARWU in 2015, comparing with that of 47 in 2010; Secondly, comparison between 2010 and 2015 reveals that 44 of these higher ranked UAWCUs have kept on the group of top 100 universities in any ranking system. However, three lower ranked UAWCUs in 2010 have dropped out the group of top 100 universities in 2015, which are replaced by some progressed universities; Thirdly, both US and UK have nearly 3/4 and 2/3 of these UAWCUs in 2010 and 2015, respectively; Lastly, this paper denotes that consistently strives to build on its strong reputation for research excellence, consistently pursuing innovative research, delivering excellence in teaching through internationalization, obtaining support from the government would be the critical factors to promote UAWCUs to improve their performance and rankings.</p>

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.479

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 studies0.0010.001
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 head0.041
GPT teacher head0.382
Teacher spread0.340 · 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 designObservational
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

Citations6
Published2016
Admission routes1
Has abstractyes

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