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Record W4247694841 · doi:10.1007/978-3-030-02899-2_3

The Struggle for Balance: Policy Borrowing and Continuous Reform in the Practice of English Language Teaching in the Gulf Cooperation Council (GCC) Countries

2019· book-chapter· en· W4247694841 on OpenAlexaff
Amir Abou-El-Kheir, Paul MacLeod

Bibliographic record

VenueSpringer international handbooks of education · 2019
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsAssiniboine Community College
Fundersnot available
KeywordsLingua francaOfficial languageLanguage policyPolitical scienceCurriculumContext (archaeology)Language educationPoliticsMedium of instructionPedagogySociologyLinguisticsGeographyLaw

Abstract

fetched live from OpenAlex

As Gulf Cooperation Council (GCC) countries contend with issues of identity, language loss, and the attrition of local culture and tradition, English is a requirement in most educational settings. While Arabic is still the primary language of personal and social communication, English is the lingua franca in many educational, economic, and technical interactions in much of the Arab world, particularly in the GCC. Therefore, even though the region’s native language is Arabic, English language education is a dominant feature in both the K-12 and tertiary education systems despite the noticeable differences in how education ministries articulate and implement English language education in curriculum and policy. This chapter examines the political, cultural, and social influence that English language education has had in the GCC by exploring the historical context of English language education in the region, current policy developments, and the role English language education plays, not only in the lives of students but also in shaping the future of the individual countries in the GCC and the region as a whole.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2019
Admission routes1
Has abstractyes

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