When academic integrity rules should not apply: a survey of academic staff
Bibliographic record
Abstract
This study examines circumstances when academic integrity rules may not apply. To this end, we conducted a multinational survey of teaching, research, administrative and support staff (N = 79). The results suggest that exemptions may be granted on compassionate grounds such as personal welfare, situations where institutional policies are perceived to be unfair or discriminatory, in cases of honest mistakes, and for special activities such as ideological and philosophical debates. Exceptions to academic integrity rules may also be granted to first-time offenders and international students. We argue that inconsistency in policy objectives coupled with differences in staff attitudes, values and beliefs create additional challenges for the implementation of academic integrity measures. However, where policy is perceived to be morally questionable, non-compliance is regarded as an attempt to restore a personal sense of fairness and trust. We further stress that ambiguity of expectations and a disproportionate focus on student action, but not on that of staff, results in an environment where different, and often conflicting, academic integrity practices may operate in parallel leading to even greater inconsistency and procedural unfairness. We discuss the implications and offer recommendations for practice and future research.
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How this classification was reachedexpand
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 teacher head, 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".