Bibliographic record
Abstract
Editors
 Jessica Lange, Editor-in-Chief, McGill University
 Linda Ecclestone, Section Editor (Book Reviews), Lasalle Secondary School
 Éthel Gamache, Section Editor (French Language), Concordia University
 Corinne Gilroy, Layout Editor, Mount Saint Vincent University
 Krista Godfrey, Production Editor, Memorial University of Newfoundland
 Jen Hoyer, Section Editor (Innovations in Practice), Brooklyn Public Library
 Tamara Noor, Section Editor (Features), OCAD University
 Rainer Schira, Layout Editor, Brandon University
 Ann Smith, Section Editor (Theory & Research), Acadia University
 Copyeditors
 Lindsay McNiff, Lead Copyeditor, Dalhousie University
 Catherine Lachaîne, University of Ottawa
 Chris Landry, OCAD University
 Dahlal Mohr-Elzeki, McGill University Health Centre
 Greg Nightingale, Western University
 Andrea Quaiattini, McGill University
 Emily Tyschenko, Guelph Public Library
 Proofreaders
 Deborah Hemming, Simon Fraser University
 Mylène Pinard, McGill University
 Tanya Ulmer, Internet Archive Canada (Alberta)
 Social Media & Web Design
 Natalie Colaiacovo, Digital & Social Media Coordinator, Centennial College
 Graham Lavender, Web Design Coordinator, Michener Institute of Education at UHN
 Translation
 Patrick Labelle, Translator, University of Ottawa
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.050 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".