MétaCan
Menu
Back to cohort
Record W2118898161 · doi:10.5539/res.v7n3p305

The Main Directions of International Educational Integration: Potential Benefits and Risks of Reforming Professional Education

2015· article· en· W2118898161 on OpenAlexvenueno aff
Renat N. Zaripov, Nailya Sh. Valeyeva, Elvira R. Valeyeva, Irina R. Zaripova, Marina I. Nadeyeva

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

The purpose of this article is to reveal the influence of the main areas of international educational integration on the processes of reforming the national professional education. The paper presents the main areas of the international educational integration at the level of statutory regulation, at the level of the goals and mission of higher professional education, at the level of organizational-structural changes, at the level of quality assurance of professional education, at the training content and management levels. The authors also proved the competitive advantages and disadvantages of the Russian market of educational services, the benefits and risks of reforming professional education under the conditions of international educational integration, economic and social effects of teaching foreign students in Russian universities. The article contents may be used by departments of international cooperation of professional educational institutions in the development of mechanisms for integrating Russian professional schools into a single educational space, as well as in the development of courses and teaching and learning aids for university heads on the issue of reforming professional education in the context of the Bologna and Copenhagen processes.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0060.005
Open science0.0000.003
Research integrity0.0010.002
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 head0.179
GPT teacher head0.436
Teacher spread0.256 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations13
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueReview of European StudiesSame topicEducational Methods and Teacher DevelopmentFrench-language works237,207