Academic Misconduct within Higher Education in Canada
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.
Bibliographic record
Abstract
Despite a plethora of research on the academic misconduct carried out by U.S. high school and undergraduate university students, little research has been done on the academic misconduct of Canadian students. This paper addresses this shortcoming by presenting the results of a study conducted at 11 Canadian higher education institutions between January 2002 and March 2003. We maintain that academic misconduct does indeed occur in Canada – amongst high school, undergraduate and graduate students. Common self-reported behaviours were as follows: working on an assignment with others when asked for individual work, getting questions and answers from someone who has already taken a test, copying a few sentences of material without footnoting, fabricating or falsifying lab data, and receiving unauthorized help on an assignment. Possible factors associated with these behaviours include student maturity, perceptions of what constitutes academic misconduct, faculty assessment and invigilation practices, low perceived risk, ineffective and poorly understood policies and procedures, and a lack of education on academic misconduct. Canadian educational institutions are encouraged to address these issues, beginning with a recommitment to academic integrity.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it