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Record W4400482674 · doi:10.55016/ojs/cpai.v2i2.68091

The International Dimension of Academic Integrity: An Integrative Literature Review

2019· article· en· W4400482674 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

VenueCanadian Perspectives on Academic Integrity · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsMedicine Hat College
Fundersnot available
KeywordsDimension (graph theory)Academic integrityPsychologyMathematicsSocial psychology

Abstract

fetched live from OpenAlex

Over half a million international students now study in Canada. This rapid increase in international enrollments has intensified focus on academic integrity because the stakes are high for both international students and the institutions that host them. Academic integrity violations involving international students may garner scandalous attention, and the international students who become entangled in incidents of academic misconduct face potentially devastating life consequences, including expulsion from academic studies and dishonor in family life. International students studying in Canada, particularly those whose first language is not English, face several hurdles not experienced by their Canadian counterparts. Overcoming these cultural barriers is a shared interest and a top strategic priority because academic credentials are a signal that assert students have mastered academic norms of the new culture. There remains considerable debate surrounding international students regarding their increased likelihood to commit academic integrity violations, and this integrative literature review explores the intersection of academic integrity and international students. It takes a broad and holistic approach to identify areas of conflict and knowledge gaps, with a focus on successful institutional interventions that proactively reduce the likelihood of academic misconduct. Little research details efficacious methods to reduce incidents of academic integrity violations involving international students, but taking stock of current interventions provides some guidance to institutions welcoming international students, and the faculty who teach them, so that they can both be successful in addressing academic integrity issues.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0030.027
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 head0.019
GPT teacher head0.331
Teacher spread0.312 · 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