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Record W1895008788 · doi:10.1111/weng.12107

English and the linguistic ecology of Malaysia

2014· article· en· W1895008788 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Englishes · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsMalayIndependence (probability theory)Context (archaeology)GlobalizationSociologyEcologyLinguisticsGeographyPolitical scienceLawBiology

Abstract

fetched live from OpenAlex

ABSTRACT The Southeast Asian region is undergoing rapid social, economic and cultural change brought about by movements of capital, people and ideas within and beyond the region. The dynamics of independence, nation‐building and globalization have had an impact on most of the nation‐states in the region, many of which attained independence only in the second half of the 20th century. This paper focuses on the development of Malaysia's language ecology within the context of nation‐building, its embedding in the Southeast Asian region, and the global challenges it seeks to meet. Malaysia's languages are an essential component of the nation's ability to communicate internally in a multilingual country and externally to the region and the world. The interplay of English with Malay and other languages, and the tensions that arise and call for responses in education and other domains like the law in the wider multilingual situation are also discussed.

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.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.982
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.346
Teacher spread0.328 · 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