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Record W4390192094 · doi:10.5206/cie-eci.v52i2.15000

Academic Language Development and Linguistic Discrimination

2023· article· en· W4390192094 on OpenAlexaffvenueabout
Christina Page

Bibliographic record

VenueComparative and International Education · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsEllMultilingualismLinguisticsPedagogySociologyNeocolonialismPsychologyColonialismTeaching methodPolitical scienceVocabulary development

Abstract

fetched live from OpenAlex

Language use within Canadian postsecondary institutions reflects ongoing neocolonialism and the privileging of European and North American English varieties. This article shares student perspectives of interactions with faculty on themes of language development and linguistic discrimination, discovered in qualitative interviews using Appreciative Inquiry methodology. Participants’ stories reveal both appreciation for supportive practices that facilitate the development of academic language skills and frustration with linguistic discrimination. Practices valued by participants include using simple and clear language, creating a comfortable environment for non-native English speakers, honouring multilingualism, and providing supportive instruction in discipline-specific language. Students also identified experiences of linguistic discrimination that resulted in academic and personal harm. In students’ stories, a tension between encouraging academic language development while avoiding discriminatory practices emerges. Paths forward in navigating this tension while challenging colonial language hierarchies may include integrating pedagogies using an academic literacies framework while also creating space for translingual practices in classrooms and institutions.

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)0.000
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 score0.656
Threshold uncertainty score0.242

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 head0.132
GPT teacher head0.388
Teacher spread0.256 · 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 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

Citations4
Published2023
Admission routes3
Has abstractyes

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