Course Journals: Leveraging Library Publishing to Engage Students at the Intersection of Open Pedagogy, Scholarly Communications, and Information Literacy
Bibliographic record
Abstract
This article presents a case study for developing course journals, an approach to student writing and publishing that involves students in the production of an online, open access journal within a structured classroom environment. Simon Fraser University (SFU) Library’s Digital Publishing program has partnered with instructors in four different departments across the university to implement course journals in their classrooms using Open Journal Systems. Two models of course journals have emerged, both of which offer valuable learning opportunities for students around scholarly communications, information literacy, and open pedagogy. In Model 1, students act as both authors who write and submit their work for publication in the course journal and as reviewers who referee each other’s submitted work. In Model 2, students act as the course journal editors, crafting the course journal’s call for papers, soliciting content, recruiting reviewers, and managing the editorial workflow from submission to publication. This article discusses challenges and opportunities of both models as well as strategies for smooth implementation and collaboration with classroom instructors.
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 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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.020 | 0.246 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".