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Record W2162054164 · doi:10.5539/ies.v6n6p35

Exploring the Academic Literacy Socialization of Mainland China Undergraduates in a Malaysian Tertiary Institution

2013· article· en· W2162054164 on OpenAlexvenueno aff
Radha M.K. Nambiar, Noraini Ibrahim

Bibliographic record

VenueInternational Education Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessSocializationInstitutionMainland ChinaHigher educationLiteracyPedagogyInformation literacyReading (process)InternationalizationPsychologyCurriculumChinaMathematics educationSociologyMedical educationPublic relationsPolitical scienceSocial scienceSocial psychologyBusinessMedicine

Abstract

fetched live from OpenAlex

Internationalization of higher education has witnessed a growing number of students from Southeast Asian countries moving within the region in search of a degree. There is a common tendency among these international students to assume that study will be easier within the region and this has led to issues that need to be addressed. This paper explores one such issue, the academic literacy socialization of mainland China undergraduates in a Malaysian tertiary institution. Specifically this paper will discuss these students’ experiences and the literacy practices they employed during a fourteen-week semester doing two reading courses – Academic Reading and Selected Literary Works. Data were collected using background and literacy experience interviews, literacy logs and analytical field notes. The findings suggest while these students think they are prepared to assimilate into the new environment they encounter difficulties and have to negotiate their literacy practices within those of the host country. The paper proposes the need for better preparedness on the part of both study abroad and host country students to enable them to socialize into the new environment and employ appropriate strategies to renegotiate their literacy practices. Teachers should also help these students adjust to their new environment by adapting better inclusive classroom practices.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.093
GPT teacher head0.367
Teacher spread0.274 · 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 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

Citations3
Published2013
Admission routes1
Has abstractyes

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