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Record W3164248983 · doi:10.17045/sthlmuni.13067432.v1

Deepening source criticism in higher education to avoid plagiarism

2020· article· en· W3164248983 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2020
Typearticle
Languageen
FieldComputer Science
TopicText Readability and Simplification
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)CriticismClass (philosophy)CheatingConstructiveMathematics educationPsychologyPedagogyTest (biology)SociologyComputer sciencePolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

<br>This is a presentation made during the pedagogical conference NU2020 (7-9 October 2020)<em>What should teachers do with Wikipedia? </em><br> Many students at the university do not really know how to find relevant information and cite important sources in their field. On the one hand, the challenge is even more difficult in language courses as the students focus on skills without paying attention to source information. In this perspective, they get used to plagiarism attitudes consisting in patchwriting strategies (Pecorari, 2015). On the other hand, teachers do not have time to help students to find the required information, they take this competency for granted in higher education. This contrast can reinforce misunderstandings between students and teachers and lead to a form of passive plagiarism, where students seek for information and gather different meanings taken in different sources. This mimetic attitude has to be questioned at the very beginning of the academic life (Krathwohl, 2002). By preparing students to a better reflection on their sources and by inviting teachers to pay attention to source criticism, a generic form of “constructive alignment” is possible (Hunt, Chalmers, 2012). The presentation proposes an exercise to test the critical capacity of students when it comes to the use of Wikipedia sources. The experiment was made during three semesters in a class of French (“Culture and society in France”) where the students had to study different materials including some Wikipedia articles recommended by the teacher (Premat, 2019). When they wrote the exam, they had to answer a metalinguistic question on the use of Wikipedia articles. The presentation analyzes the answers of the students by proposing a typology of discourses and attitudes on Wikipedia sources.There is a paradox between students’ practices (almost all of them recognize that they use Wikipedia) and between the discourse that they have (most of them would not dare citing a Wikipedia article in an academic essay). The presentation proposes pedagogical activities where students would be encouraged to deepen source criticism (Peters, Cadieux, 2019; Premat, 2020). -Hunt, L., Chalmers, D. (eds.) (2012). <em>University teaching in focus: a learning-centred approach. </em>Abingdon, Oxon: Routledge.-Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: an overview. <em>Theory into practice, </em>vol. 41, n. 4, 212-218.-Pecorari, D. (2015). Plagiarism in second language writing: Is it time to close the case? <em>Journal of Second Language Writing, </em>30, pp. 94-99.-Peters, M., Cadieux, A. (2019). Are Canadian professors teaching the skills and knowledge students need to prevent plagiarism?. <em>International Journal of Educational Integrity</em> 15, 10 (2019). https://doi.org/10.1007/s40979-019-0047-z (See a summary in <em>Aktuell högskolepedagogisk forskning, </em>1, 2020, https://su.powerinit.com/Modules/Campaign/Newsletter.aspx?n=7745&amp;e=christophe.premat@su.se&amp;r=372722&amp;h=FE54B47668C0493D5A6BED122B73BBC4)-Premat, C. (2019). <em>Hur kan man lära studenter att undvika plagiering? </em>Figshare. Paper. DOI: https://doi.org/10.17045/sthlmuni.7850993.v1-Premat, C. E. (2020). Wikipedia Practices, Quick Facts, and Plagiarism in Higher Education. In E. Ezza, &amp; T. Drid (Eds.), <em>Teaching Academic Writing as a Discipline-Specific Skill in Higher Education</em> (pp. 199-221). Hershey, PA: IGI Global. https://doi:10.4018/978-1-7998-2265-3.ch009

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptResearch integrity
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.003

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 head0.090
GPT teacher head0.281
Teacher spread0.191 · 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