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Record W4389516683 · doi:10.36923/jicc.v23i4.235

Superficial Causes of AUM Theory Affect Uncertainty and Anxiety among Students in a High-Context Culture

2023· article· en· W4389516683 on OpenAlexaff
Sun Hui-wen, Zhenyi Li, Norliana Hashim, Jen Sern Tham, Rosmiza Bidin

Bibliographic record

VenueJournal of Intercultural Communication · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsRoyal Roads University
FundersUniversiti Putra Malaysia
KeywordsAnxietyContext (archaeology)Affect (linguistics)Structural equation modelingPsychologyStratified samplingSocial psychologyConstruct (python library)Applied psychologyStatisticsMathematicsComputer scienceGeography

Abstract

fetched live from OpenAlex

International students in Malaysian universities face uncertainty and anxiety toward a multi-new culture, a must-encountered cultural shock. This study investigated the relationship between superficial causes of AUM theory and uncertainty and anxiety in a high-context culture. In this study, 388 international students from different faculties were chosen through a method called stratified random sampling, which sampled two public universities with the largest number and richest nationalities of international students. The researchers used a self-administered questionnaire to gather information from the participants, which was analyzed by AMOS and applied to the validation of theoretical construct through Structural Equation Modelling (SEM), and other statistical methods were employed to analyze the data and test seven hypotheses. The findings of the study showed that five superficial causes affect the management of uncertainty and anxiety in AUM theory. The results of this study have important implications for Malaysian public universities in terms of understanding the factors that influence uncertainty and anxiety management among students.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.198
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.353
Teacher spread0.324 · 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 teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

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