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Russian geological education in the world market (the case of Russian State Geological Prospecting University)

2016· article· en· W2593402615 on OpenAlexaboutno aff
V. I. Lisov

Bibliographic record

VenueVestnik RUDN International Relations · 2016
Typearticle
Languageen
FieldEngineering
TopicEngineering and Environmental Studies
Canadian institutionsnot available
FundersFar Eastern Federal University
KeywordsPromotion (chess)State (computer science)Political scienceProspectingGeopoliticsHigher educationNatural resourceVocational educationResource (disambiguation)Sustainable developmentEconomic growthBusinessEngineeringMining engineeringPoliticsEconomics

Abstract

fetched live from OpenAlex

Higher geological education in Russia and in MSGPI-RSGPU specific. It - engineering. The mineral deposits determine the development of the global industry and foreign trade. Growing global demand for the profession of geologists and mining engineers. Training of foreign students in Russia has its own geopolitical and economic importance. In Russia a strong resource-based economy. It attracts students from developing countries. MGRI-RSGPU is the leading universities training specialists for mining. The article presents data about the University and types of education. Shown scientific and educational problems in higher education. This article discusses the prospects for the promotion of Russian higher geological education at the world market of educational services. The increasing role of new scientific and technological achievements in mining, enhanced environmental as well as staff requirements is revealed. Given that the leading schools in the mining industry, in addition to Russia, are formed in Canada, Germany, USA, Australia, Great Britain, many developing countries rich in natural resources, have begun to form their own national centers for training in this area. Under such competitive conditions Russian geological education maintains its own niche. Recognition of this is the active participation of Russian universities in the creation and development of the World Forum of sustainable development of mineral universities (WFURS), described in the article. The main factors of competitiveness that led to leading positions of Russian State Geological Prospecting University in system of the Russian geological education are described. Particular attention is paid to the international activities of Russian higher educational institutions including Geological Prospecting University. The basic statistics (both in the context of the country, and in the field) of foreign undergraduate and graduate students enrolled at this university is provided. The article highlights the main problems and prospects of integration of the Russian geological education in the world market of educational services.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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
Published2016
Admission routes1
Has abstractyes

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