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Record W1584967548 · doi:10.1111/weng.12110

English in higher education in Cambodia

2014· article· en· W1584967548 on OpenAlexaff
Azirah Hashim, YEE CHEE LEONG, PHEAK TRA PICH

Bibliographic record

VenueWorld Englishes · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsEnthusiasmEnglish languagePhenomenonHigher educationInstitutionPedagogyTest of English as a Foreign LanguageSociologyEnglish studiesMathematics educationPsychologyPolitical scienceSocial scienceLinguistics

Abstract

fetched live from OpenAlex

ABSTRACT This paper discusses a number of key issues in English education and research in Cambodia. Multiple studies on Cambodia often suggest that English is a key component required to transform the standard of life of common Cambodians (Clayton ). To understand the phenomenon of the ever‐increasing demand for English in the country, we conducted a series of semi‐structured interviews with teachers and students followed by a needs analysis of English language learners in a tertiary institution. Our findings suggest that these future employees have a great enthusiasm for learning English mostly mediated by economic imperatives, in a changing world that prioritizes proficiency in the English language. Moreover, it was also found that research in higher education in Cambodia has gained increasing interest among English lecturers and students in the Cambodian academic community.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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

Citations32
Published2014
Admission routes1
Has abstractyes

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