The International Dimension of Academic Integrity: An Integrative Literature Review
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.019 | 0.026 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".