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Record W4221036202 · doi:10.18192/olbij.v11i1.6180

Academic writing re-designed: Connecting languages and literacy in the assemblage of EAP

2022· article· en· W4221036202 on OpenAlex
Eugenia Vasilopoulos

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

VenueOLBI Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAssemblage (archaeology)Meaning (existential)SociologyDeleuze and GuattariAffect (linguistics)PedagogyLiteracyMeaning-makingQualitative researchLinguisticsPsychologySocial scienceCommunicationArchaeologyGeography

Abstract

fetched live from OpenAlex

This study draws on the combined perspectives of “A pedagogy of multiliteracies” (New London Group, 1996) and assemblage and affect (Deleuze & Guattari, 1980/1987) to examine how neoliberal identities shape how English for academic purposes (EAP) students compose a source-based research paper. Such exploration is necessary to account for the range of influences that contribute to students’ meaning making and textual production, especially when academic dishonesty is involved. Interview data from one atypical student participant is presented and analyzed through the post-qualitative method of rhizoanalysis to highlight how (mis)intended meaning in the design process can be (mis)interpreted. Analysis from a pedagogy of multiliteracies framework combined with assemblage and affect reveal the unsuspecting neoliberal influence that shape learning experiences in EAP. Based on these findings, critical implications for EAP pedagogy and research are proposed to address international students’ lived realities as digital-transnational citizens.

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)0.001
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.031
GPT teacher head0.317
Teacher spread0.286 · 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