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Record W4392424010 · doi:10.6000/1929-4409.2020.09.345

Humanitarian “Reversing” in the Education Development in the Russian Federation Education under the Conditions of Transhumanistic Challenges in the Era of Globalisation

2021· article· en· W4392424010 on OpenAlexvenueno aff
Maksim V. Kochetkov, Elena A. Avdeeva

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsReversingGlobalizationRussian federationPolitical scienceEconomic growthMedicineSociologyLawEconomicsEngineeringRegional science

Abstract

fetched live from OpenAlex

The effectiveness of the development of individual countries within the conditions of accelerating scientific and technological progress, expanding the influence of globalisation and integration processes in the global socio-cultural space are very important during the exchange of international students. The purpose of the paper is to research the methodological foundations of the humanities education for international students as an alternative to transhumanist ideology. In the framework of general scientific research methods, a paradigmatic approach is used as a factor analysis of students' educational processes. Particular attention is paid to the substantiation of the methodological foundations of the education humanisation on the basis of modern ontologically anthropological and religious-anthropological achievements of the philosophical field of knowledge. In this regard, the thesis is accepted that the artificially imposed transhumanist ideology performs a key integrating function when considering the practice of education of international students. The novelty of the study is due to a discussion of the contradictions caused by all-round technocratisation and informatisation, the fall of moral standards, and the degradation of human behavior. The practical significance of the study is determined by the need to develop a different pedagogy and model of education for modern students.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.163

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.128
GPT teacher head0.360
Teacher spread0.233 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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