Bibliographic record
Abstract
Editorial Board and AcknowledgementsVolume 6, Issue 2 Editors-in-ChiefGhassan Al-Yassin and Juno Bayliss Humanities and Fine ArtsSenior Editor: Delane JustAssociate Editors: Mae McDonald, Teevin Fournier, Courtney Neufeld, Sophia Charyna, Chloe StainbrookGraduate Advisor (2019-2020): Jasmine Redford Natural SciencesSenior Editor: Sarah FoleyAssociate Editors: Gloria Yu, Rina Rast, Riley Whyte, Leland Bryshun, Bre Hipkin, Jalen Mikuliak, Brooke Coller Health SciencesSenior Editor: Nikoo SoltanAssociate Editors: Naiela Anwar, Sergey Kens, Tasker Wanlin, Anne-Sophie FortierGraduate Advisor: Valerie Rozwadowski Social SciencesSenior Editor: Jordan WellschAssociate Editors: Muhammad Awan, Robin Steeg, Brenan Smith, Courtney Hrynuik, Ziying LiGraduate Advisor (2019-2020): Bidushy Sadika LayoutLayout Editors: Rina Rast, Ziying Li, Teevin Fournier, Courtney Hrynuik, Ghassan Al-YassinCover Layout: Amy St. Jacques Communications Jordana Lalonde Staff and Faculty AdvisorsFaculty Advisor (2019-2020): Vicky Duncan, University LibraryStaff Advisor: Liv Marken, Writing Help Coordinator, Student Learning Services AcknowledgementsThe Editorial Board would like to thank the following individuals, departments and organizations for their contributions to and support of the journal: Laura Larsen, Writing Help Centre; Amy St. Jacques, Student Learning Services at the University Library; DeDe Dawson and JoAnn Murphy, University Library; Kate Langrell, University Library; Merle Massie, Undergraduate Research Initiative, Office of the Vice-President, Research; all faculty and graduate student reviewers; the College of Graduate and Postdoctoral Studies; and the University Library.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".