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Record W4405242424 · doi:10.1515/applirev-2024-0027

Transnational media and English spread in the Expanding Circle: Hollywood’s predominance, language accommodation, and English as an additional language in cinema, television, and video on demand

2024· article· en· W4405242424 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

VenueApplied Linguistics Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsWorld EnglishesHollywoodContext (archaeology)LinguisticsMovie theaterEnglish as a lingua francaLingua francaVarieties of EnglishPidginStandard EnglishIndian EnglishSociologyMedia studiesHistoryArtLiteratureCreole language

Abstract

fetched live from OpenAlex

Abstract This paper explores the relationship between transnational media and the dramatic increase in English language users and uses within Kachru’s (1990. World Englishes and applied linguistics. World Englishes 9(1). 3–20) Expanding Circle. Traditionally, English has been considered a Foreign Language in the third and demographically largest sphere of Kachru’s (1990. World Englishes and applied linguistics. World Englishes 9(1). 3–20) World Englishes framework. Yet in recent decades, the language has spread significantly within speech communities in e.g., continental Europe, South America, and the Middle East. In contemporary Expanding Circle contexts, English has gained international and local uses, for interactions with individuals from abroad and fellow speech community members. Thus, English has evolved beyond its single, traditional role to acquire the added functions of Lingua Franca and Additional Language. This study examines these changing roles in connection with transnational media’s development over the last century, given the leading industry position of L1-English Hollywood. The paper reviews the transnational history of cinematic film, television programming, and video streaming on-demand, with their evolving top-down language policies and bottom-up viewer practices. The European context of Germany illustrates how English use within these domains over time reflects changing proficiencies and roles for the language.

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)0.002
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: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0010.000

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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