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Record W3041370664 · doi:10.1075/ltyl.19017.hay

Language education policy and practice in state education systems

2020· article· en· W3041370664 on OpenAlex
David Hayes

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

VenueLanguage Teaching for Young Learners · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsBrock University
Fundersnot available
KeywordsForeign languageCurriculumContext (archaeology)Language policyPedagogyAffect (linguistics)State (computer science)Political scienceMathematics educationPsychologySociologyComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract This article considers the complexity of factors involved in developing foreign language educational policy, with a particular focus on English at the primary level, which fosters student achievement in state educational systems. It examines both those factors which underpin a successful education system in general (such as equitable provision for all socio-economic groups within the society) as well as factors which affect language teaching policy and practice for primary school learners in particular (such as a curriculum which offers teachers and children opportunities to engage in language use which is meaningful in their contexts). The status and training of highly skilled foreign language teachers for primary aged learners is also accorded due weight. Using case studies of English as a foreign language in the school systems of South Korea and Thailand, the article emphasizes the importance of policies which are appropriate to their educational and socio-cultural context and realistic objectives for young children’s early engagement with learning a foreign language if it is to be a positive experience in primary schools.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
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 science0.0000.000
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 head0.034
GPT teacher head0.465
Teacher spread0.431 · 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