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Record W2407512480 · doi:10.1558/wap.v8i1.27207

Textual appropriation in two discipline-specific undergraduate writings

2016· article· en· W2407512480 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueWriting & Pedagogy · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsAppropriationDisciplineAcademic writingReading (process)Scientific writingStatement (logic)CitationComputer scienceMathematics educationLinguisticsSociologyPsychologyLibrary scienceSocial science

Abstract

fetched live from OpenAlex

Research has explored how scholars use citations to write intertextually across disciplines but have rarely compared how students, especially undergraduates, appropriate source texts in their writing in arts versus sciences. This study explores textual appropriation and source use in disciplinary writing of second language undergraduates in a North American university. Two samples of undergraduate writing were analyzed. One is a biology paper written by Cary to summarize a scientific concept or statement, and the other is an essay in Film Studies written by Martin on a topic of his own choosing. Text-based interviews were conducted to solicit participants’ comments and explanations of how they used source texts in completing the two specific disciplinary writing tasks. Results suggest different citing behaviors between the two students in terms of the types of sources they used (textbooks, monographs, and non-reading sources), the format of textual borrowing (quoting versus paraphrasing), and reasons for citing and not citing (e.g., to use others’ words or ideas versus expressing one’s own ideas or knowledge). The paper ends with an example of an assignment designed to help students explore how to make citation decisions in disciplinary writing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.732

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.310
Teacher spread0.270 · 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