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Record W2801238031 · doi:10.5430/ijhe.v7n3p16

Cultural Cooperation Activities between Italian and Chinese Universities: A Case Study

2018· article· en· W2801238031 on OpenAlexfundvenueno aff
Sha Ha

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
FundersCentro studi di Economia e Tecnica dell’Energia Giorgio Levi Cases, Università degli Studi di PadovaCanadian Immunization Research NetworkUniversità degli Studi di Padova
KeywordsEuropean unionPolitical scienceMember statesCultural activitiesSociologyBusinessInternational tradeAnthropology

Abstract

fetched live from OpenAlex

Italy, a country with a great cultural tradition and a founding member of the European Union (EU), since 2004 very actively contributes to the cultural cooperation activities of EU with non European countries. This paper is a detailed review of the status of those activities, which can be subdivided into joint ‘Master Mundus’ Actions and bilateral teaching and research cooperation agreements established between Italian and Chinese higher education institutions. The University of Padova (UP) has been adopted as a relevant a case study, with teaching and research cooperations spanning from the S&T to Medicine, Law and Humanities. The results obtained so far are promising.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0110.005
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0020.001
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 head0.024
GPT teacher head0.395
Teacher spread0.371 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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