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Record W2945444781 · doi:10.11575/jet.v51i3.68273

Exploring the Intersection Between Culturally Responsive Pedagogy and Academic Integrity Among EAL Students in Canadian Higher Education

2019· article· en· W2945444781 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUniversity of Calgary · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPedagogyAcademic integrityCulturally sensitiveSociologyHigher educationCultural diversityCultural competencePsychologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

In this article, we examine selected literature on the implementation of culturally responsive pedagogy in higher education with regard to academic integrity among international students who speak English as an Additional Language (EAL). The question that guided this work was: How can Canadian post-secondary educators demonstrate culturally sensitive responses to plagiarism for international EAL students? Within this examination we used Sleeter’s (2011) critique of culturally responsive pedagogy as a framework to deepen our reflection of how to address plagiarism issues among the EAL population. We related each of Sleeter’s four observances of oversimplification to the notion of plagiarism and its prevention, to contextualize and connect the notion of culturally responsive pedagogy to academic integrity. Using the research literature to ground our recommendations, we conclude with strategies for instructors to support culturally responsive ways of addressing plagiarism with international EAL higher education students.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.612

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.051
GPT teacher head0.315
Teacher spread0.264 · 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