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Record W4221065676 · doi:10.37213/cjal.2022.31515

Current Trends in Critical Discourse Analyses of Textbooks: A Look at Selected Literature

2022· article· en· W4221065676 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsCarleton University
Fundersnot available
KeywordsCritical discourse analysisSituatedContent analysisApplied linguisticsPerspective (graphical)SociologyDiscourse analysisSystemic functional linguisticsCritical theoryCritical thinkingLinguisticsPedagogyPsychologySocial scienceEpistemologyPolitical scienceComputer scienceIdeology

Abstract

fetched live from OpenAlex

Critical discourse analysis (CDA) has increasingly served to examine the content of textbooks. Given momentum by critical social inquiry pertaining to textbook content, this study looks at peer-reviewed literature drawn from three scholarly databases (JSTOR, ERIC, and SAGE; cross-referenced with searches on Google Scholar) that use critical discourse analysis for those investigations. Reviewing the selected literature, this study asks: What are the most represented approaches of CDA used for examining textbooks? What contextual themes appear to draw the most attention? In what fields of study are the examined textbooks situated? How do these emergent themes appear to be connected? What areas of research appear lacking in the collected literature? The findings illustrate that, while the methods of CDA and types of textbooks examined are diverse, the lion’s share of contextual attention and critical utility appear to be given to foundational approaches to CDA and textbooks used for English language teaching. Further research directions on textbooks from a CDA perspective are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.326
Teacher spread0.287 · 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