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Record W3157457396 · doi:10.13140/rg.2.2.15093.09441

Shanghai Rankings of Global Universities (2020) and Status of Indian Universities

2021· article· en· W3157457396 on OpenAlexaboutno aff
H.S. Virk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsRanking (information retrieval)ChinaPosition (finance)Status quoPolitical scienceHigher educationGeographySubject (documents)Economic growthLibrary scienceBusinessComputer scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Academic ranking of world universities (ARWU) 2020 is released as usual on 15 August by Shanghai Ranking Consultancy of China. ARWU has been presenting the ranking of world's Top 500 universities annually since 2004 but in 2020, ranking of 1000 global universities has been projected. It is unfortunate that none of the Indian universities and IITs find a slot among the Top 500. Indian Institute of Science, Bangalore was placed among the Top 500 in 1919 ranking but it has slided down to lower rank in the 501-600 series. USA has maintained its position with 45 universities among Top 100, Europe has improved from 35 to 36, Asia-Oceania improved from 17 to 19, and Africa remains out of any reckoning as in the past. Individual ranking of European countries has improved, for example, UK (8), France (5), Switzerland (5), Sweden (3) have improved their ranking position, while Canada( 4), Germany (4), China (6), Japan (3) and Russia( 1) maintain the status quo. In subject-wise ranking, Punjab University, Chandigarh maintains its slot among top 201-300 in the subject of Physics. In Mechanical Engineering, Indian Institutions have the better ranking among Top 400 as compared with other subjects but in other branches they hardly find a slot among Top 500. The ranking of Indian Universities is dismal in Agriculture, Biological Sciences, Social Sciences and Education.

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 categoriesInsufficient payload (model declined to judge)
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 score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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.

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
Published2021
Admission routes1
Has abstractyes

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