Addressing student plagiarism from the library learning commons
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
Purpose The purpose of this paper is to conceptualize principled plagiarism education in library learning commons. Design/methodology/approach The synthesis of literature from library and information science, writing studies, and study skills illuminates academic cultures of speech reporting, causes of undergraduate student cheating behaviors and blunders in source use and attribution, and recommended best teaching practices. Findings Library learning commons are particularly well positioned to address student plagiarism as student-centric spaces with the potential to foster prosocial behaviors among students. Learning commons’ partner literatures reveal understandings of academic citation practices as multiple and fluid, tacit, ideological and skillful information literacies. Best practices for plagiarism education are developmental approaches aimed at socializing students into academic cultures of knowledge construction. These approaches to plagiarism education may preclude teaching academic integrity policy or participating in the enforcement of those codes of conduct. Research limitations/implications No survey of programs or their effectiveness was done for this paper. The effectiveness of the approach conceptualized here merits further study. Originality/value Contributions to fostering academic integrity support student success and the integrity of degrees and institutional reputation more broadly. This paper provides a model for interdisciplinary learning commons’ research.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Research integrity Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
| gpt | Research integrity Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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