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Record W4321103589 · doi:10.5430/wjel.v13n2p288

Some Issues of Research and Intercultural Communication Curriculum Development at Sai Gon University in the Integration Period

2023· article· en· W4321103589 on OpenAlexvenueno aff
Tran Thi Tuyen

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseIntercultural communicationPeriod (music)CurriculumValue (mathematics)SociologyInternational communicationCommunication studiesPolitical scienceEngineering ethicsPedagogyPublic relationsEngineeringSocial scienceLinguisticsComputer science

Abstract

fetched live from OpenAlex

With the opening and integration of our country, we have attracted many investors from various fields all around the world such as economy, society and so on, leading to the development of many changes in life, language and culture in Vietnamese communication. So "some issues of research and intercultural communication development curriculum at Sai Gon University in the integration period” is a topic that has important value in communication and this topic is worthy to be paid attention for carrying out a research. However, due to the limitation of the article, we only discuss the issues of research and develop an intercultural communication curriculum in the training of the Master's program in Linguistics at Sai Gon University, Viet Nam. To accomplish this topic, a mix of methods will be employed, including surveying, listing and describing to clarify the issues of communication and intercultural communication in the conditions of the current country. Since then, we offer applications in teaching activities and curriculum development on issues that are closely related to communication, intercultural communication and linguistic in the development and integration period in Viet Nam.

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)0.011
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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