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Record W4284703337 · doi:10.31468/dwr.931

Spacious Grammar: Agency and Intention in the Teaching of Research Writing

2022· article· en· W4284703337 on OpenAlex
Katja Thieme

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

VenueDiscourse and Writing/Rédactologie · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGrammarEthosPerformative utteranceSociologyScholarshipIdeologyAgency (philosophy)Context (archaeology)PedagogyLinguisticsPolitical scienceSocial scienceHistory

Abstract

fetched live from OpenAlex

Standardized academic English is now understood to be rooted in histories and practices that are colonial, classist, nationalist, heteronormative, ableist, and sexist. Current teaching of academic English carries an ethos of making practices of research writing accessible to students from marginalized backgrounds through explicit attention to language patterns and genre structures. In the context of both ideological critique and explicit pedagogy, I discuss three pragmatic elements of research writing—positionality, citation, and evaluation—with examples from one of my courses. I present these elements and my approach to teaching them as a practice that is attentive to both details of published scholarship and students’ agency and intentionality in shaping their own writing projects, claims, and arguments. My work is framed by a functional approach to grammar where grammar is not interesting as a standardized apparatus but as a code that provides a range of options for producing performative effects. I call this spacious grammar.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.168
GPT teacher head0.424
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