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Record W3169631118 · doi:10.1177/21582440211021842

Linguistic Capital in the University and the Hegemony of English: Medieval Origins and Future Directions

2021· article· en· W3169631118 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSAGE Open · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsYorkville University
Fundersnot available
KeywordsHegemonyHigher educationInstitutionCultural capitalCapital (architecture)SociologyScope (computer science)LinguisticsPolitical scienceSocial sciencePoliticsHistoryLaw

Abstract

fetched live from OpenAlex

As the institution of university has evolved into a highly diverse educational community, the language of communication (or linguistic capital) in higher education plays a vital role. Therefore, English as a medium of instruction (EMI) became the dominant characteristic of academia in many parts of a (globalized) world. This growing influence of EMI has affected the scope of both higher education and academic research. Being a linguistic form of capital, the significance of English as a major linguistic resource can be analyzed historically since the institution of university was founded. In fact, EMI seems to have challenged the linguistic diversity and accessibility to higher education in the contemporary world. The case of Canadian higher education highlights new directions in the exploitation of the linguistic capital at university, and the emerging concept of a multilingual university could offer some unique opportunities for knowledge mobilization and access to higher education. Thus, the issue of linguistic capital at the current (globalized) university needs to be re-examined.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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