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Record W2075371877 · doi:10.5539/res.v7n1p46

Organizational and Pedagogical Conditions of Academic Mobility Development of Students at School of Higher Professional Education

2014· article· en· W2075371877 on OpenAlexvenueno aff
Elena E. Merzon, Albinа R. Fayzullina, Rinat R. Ibatullin, Dmitry A. Krylov, Neile K. Schepkina, Tatyana V. Pavlushkina, Elmira R. Khairullina

Bibliographic record

VenueReview of European Studies · 2014
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic mobilityAutonomyProfessional developmentValue (mathematics)Higher educationRelevance (law)Space (punctuation)PedagogyField (mathematics)Political scienceSociologyPsychologyMathematics education

Abstract

fetched live from OpenAlex

The relevance of the stated problem is caused by the fact that the development of academic mobility of students and carrying out the program of mutual exchange and training of students and teachers in other higher educational institutions of Russia and the whole world, are one of the indicators of educational autonomy of the university. In this regard, this article reveals the conditions of formation, expansion, improvement of academic mobility of students, the conditions for a stable regulatory framework and the development of academic mobility conditions to prevent the brain drain. Proceedings of the article are of value to the heads of international departments and teachers of higher educational institutions of professional education, as well as valuable in the development of recommendations on the policy-making in the field of international education and the integration of the Russian professional schools into The Common Education Space.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.164
GPT teacher head0.462
Teacher spread0.297 · 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 designQualitative
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

Citations16
Published2014
Admission routes1
Has abstractyes

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