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Record W4313257662 · doi:10.5430/wjel.v12n8p495

A Pedagogic-Phonetic Critique of the BBC’s Internet-Based L2 teaching of English Vowels

2022· article· en· W4313257662 on OpenAlexvenueno aff
Amir H.Y. Salama

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
FundersPrince Sattam bin Abdulaziz University
KeywordsPronunciationThe InternetSpace (punctuation)LinguisticsSet (abstract data type)Field (mathematics)Mathematics educationComputer scienceSociologyPsychologyMathematicsPhilosophyWorld Wide Web

Abstract

fetched live from OpenAlex

The present study proposes a pedagogic-phonetic critique of the BBC’s Internet-based L2 teaching of English vowels as a “pedagogic recontextualizing field (PRF)” (Bernstein, 1990). This PRF seems to purvey the learning input of English vocalic pronunciations in a way that manifests a set of pedagogic practices; such practices, despite being sensitive to text-based theories of phonetic description, are literally dismissive of essential pronunciation aspects that relate to lip position as well as vocalic duration and complexity. The research data is drawn from the BBC’s online video materials archived for the public use of L2 teachers and learners of English. Following Bernstein’s pedagogic-linguistic approach (Bernstein, 1971, 1975, 1990, 1996), the study has reached the main finding – alongside some pedagogic recommendations – that the BBC’s Internet-based L2 teaching of English vowels constitutes a partial PRF on the grounds that this type of L2 teaching offers only a limited pedagogic space for the recontextualization of “visible” pedagogic practices, and that there remain some phonetically significant aspects which are missing from the BBC’s PRF. Therefore, these aspects need to be incorporated into the pedagogic space available to the L2 learner or acquirer of English on the BBC learning website.

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)0.003
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.018
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.314
Teacher spread0.298 · 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.

Study designQualitative
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

Citations3
Published2022
Admission routes1
Has abstractyes

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