MétaCan
Menu
Back to cohort
Record W4416830274 · doi:10.34925/eip.2025.184.11.083

ИНСТИТУЦИОНАЛЬНЫЕ ФАКТОРЫ ЭКОНОМИЧЕСКОГО РАЗВИТИЯ РЫНКА ОБРАЗОВАТЕЛЬНЫХ УСЛУГ

2025· article· ru· W4416830274 on OpenAlexaboutno aff
ГУАНЮЙ ЖЭНЬ, А.А. БРАЦЛАВСКИЙ, А.Д. ШМАТКО

Bibliographic record

VenueЭкономика и предпринимательство · 2025
Typearticle
Languageru
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceGeneral Agreement on Trade in ServicesLiberalizationContext (archaeology)Free tradeDeveloping countryTrade in servicesWork (physics)

Abstract

fetched live from OpenAlex

В контексте экономической глобализации степень либерализации международной торговли постоянно углубляется, а наука и техника непрерывно развиваются. Рынок образовательных услуг уже стал одной из важных составляющих Генерального соглашения по торговле услугами (ГАТС). Рынки образовательных услуг развитых стран сформировались относительно рано и занимают значительную долю мирового рынка образовательных услуг. Для таких развитых стран, как США, Великобритания, Австралия, Канада, Франция, Германия, Новая Зеландия, рынок образовательных услуг играет значительную роль в национальной экономике. Хотя образовательные услуги во многих странах обладают в определенной степени свойствами общественного блага, в своих обязательствах по образовательным услугам в рамках ГАТС они демонстрируют позитивную открытость в этой сфере. In the context of economic globalization, the degree of liberalization of international trade is constantly increasing, and science and technology are continuously developing. The education services market has already become an important component of the General Agreement on Trade in Services (GATS). The education services markets of developed countries have been established relatively early and account for a significant share of the global education services market. For developed countries such as the United States, the United Kingdom, Australia, Canada, France, Germany, and New Zealand, the education services market plays a significant role in their national economies. Although educational services in many countries have certain public good properties, they demonstrate positive openness in this area in their GATS commitments on educational services. At the same time, trade liberalization and the activities of transnational corporations increase the demand for specialists with work experience.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.007
Scholarly communication0.0130.007
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0490.019

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 head0.031
GPT teacher head0.328
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 designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueЭкономика и предпринимательствоSame topicEducational Innovations and ChallengesFrench-language works237,207