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Record W2793125862 · doi:10.22215/etd/2014-10236

The Role of Prior Genre Knowledge in the English for Academic Purposes Classroom: A Study of Students’ Perceptions

2014· dissertation· en· W2793125862 on OpenAlexaff
Don Myles

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPerceptionEnglish for academic purposesRhetorical questionAcademic writingPsychologyGrounded theoryPedagogySecond language writingMathematics educationEmpirical researchQualitative researchGenre analysisLinguisticsSociologySecond language

Abstract

fetched live from OpenAlex

The study explores English for Academic Purposes (EAP) students’ perceptions of (a) their awareness and knowledge of written academic genres in the first languages (L1s) and in English, which they acquired in previous writing experiences and (b) the relationship between their prior L1, English, and current EAP writing. The qualitative empirical study uses Rhetorical Genre Studies (RGS) and English for Specific Purposes (ESP) approaches to genre as its theoretical framework. The data collected from eight participants include a questionnaire and semi-structured interviews. Interview transcripts were thematically coded using techniques informed by the modified constructivist grounded theory. The data analysis has revealed the student participants' implicit L1 genre knowledge, their perception of limited prior L1/English academic writing experience, and a lack of connection with their EAP writing, which may hinder successful transfer of EAP students' prior genre awareness and knowledge to their EAP practices. Implications for genre-based EAP pedagogy 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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.340
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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