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Record W2995045136 · doi:10.31468/cjsdwr.731

EAL Writers and Peer Tutors: Pedagogies that Resist the “Broken Writer” Myth

2019· article· en· W2995045136 on OpenAlex
Daniel Chang, Amanda Goldrick-Jones

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 · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMythologyNegotiationMeaning (existential)Second language writingCollaborative writingAcademic writingSpace (punctuation)PedagogySociologyMathematics educationLinguisticsPsychologySecond languageLiteratureArtPhilosophy

Abstract

fetched live from OpenAlex

Writing centres offer a safe space for writers, including English-as-additional-language (EAL) students, to negotiate meaning and become more <luent with academic writing genres. However, a disconnect still exists between the writer-centred principles that inform WC tutoring practice and the pervasive myth that writing centres repair “broken” writing. An analysis of data from a writing centre’s client reports, as well as peer tutors’ comments and student writing samples, indicates that a student’s language membership does not predict types of writing challenges or errors. This <inding inspired a roundtable discussion about pedagogical approaches that not only empower EAL students but help writing centres resist the “broken writer” myth.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.151
GPT teacher head0.489
Teacher spread0.338 · 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