What Is Prohibited? Non-Academic Conduct Policies in Canadian Universities
Bibliographic record
Abstract
Student conduct in Canadian universities is generally guided using student conduct policies, which are overseen by student affairs professionals. This structure around student conduct attempts to encourage appropriate behaviour or community standards among students attending university. The concepts of “conduct” and “misconduct” used at most universities in North America are influenced substantially by the Model Student Code template. This study examines what non-academic conduct is prohibited in the policies of universities in Canada and applies the “What’s the Problem Represented to Be” method of post-structuralist policy analysis to them. As a way to question or disrupt the representation of the “problem,” this study proposes two principles along with six guidelines for developing codes of conduct. This will help student affairs professionals and university administrators develop more educative approaches to non-academic conduct policies and provide new avenues for research into non-academic conduct.
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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 | 0.014 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.035 | 0.013 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".