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Critical Language Awareness

2018· other· en· W2894695797 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

VenueThe TESOL Encyclopedia of English Language Teaching · 2018
Typeother
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsWestern University
Fundersnot available
KeywordsVocabularyGrammarLinguisticsSubject (documents)PsychologyPedagogyNonverbal communicationConsciousness raisingLanguage educationComputer scienceCommunication

Abstract

fetched live from OpenAlex

Critical language awareness (CLA) is a field of study that focuses on raising the awareness of teachers and learners of English as an international language (EIL) as to the socially constructed nature of language practices. This awareness includes understanding that there is more to teaching and learning a language than grammar and vocabulary. Navigating changing times and circumstances, EIL teachers and learners need to understand and counter hegemonic structures, make their voice heard in verbal and nonverbal “texts,” understand the historical antecedents to grammatical and vocabulary conventions, and recognize how these conventions are positioned in language ideologies, power relations, and discourse communities. Dominant group teachers need to become cognizant of their privileged positioning compared with how subordinated group EIL learners are positioned across a range of (verbal and nonverbal) discourses; they need to draw on that understanding when teaching about CLA and when implementing CLA pedagogy in language‐as‐subject and content‐teaching.

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)0.002
metaresearch head score (Gemma)0.022
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.614
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.023
GPT teacher head0.415
Teacher spread0.392 · 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