Bibliographic record
Abstract
Editor-in-Chief: Natasha Faroogh Assistant English Editor: Stephanie Settle Assistant French Editor: Gervanne Bourquin Editor of Campus Life: Erika Desjardins Editor of Issues and Ideas: Lindsay Drury Editor of Health and Wellness: Samantha Kacaba Editor of Metropolis: Neya Abdi Editor of Arts and Entertainment: Ashley Moniz Editor of Expressions: Sienna Warecki Communications Officer: Victoria Ramsay Design and Layout: Megan Armstrong The Food Services Scandal: Who is really at fault? Letter from the Editor Vie de Campus Glendon Comes Home Tulip Tales! Canals and Tulips and Bikes, Oh My!! La communaute de WUSC Issues and Ideas Don't Hate the Game, Hate the Player Will you be buying the new iPhone 6? I probably will, but I'm hesitant... Life Without Labels: An Op-Ed Concerning Sexual Identification and Its Relationship to Community Metropolis Open Streets TO: A Step Forward Dining Near Campus Health and Wellness Strictly Sex Happy 50th to the Glendon Athletic Club! Arts and Entertainment Les Cowboys fringants debarquent! Community Drama: How We Almost Lost the Beloved Comedy, and Then Got it Back The Last Five Years From Stage to Screen Done Right Lorde Returns to Toronto (With Commercialization in Tow) Expressions Free From Estivation Move aside Lions, the Cougar is on Campus! Thoughts from a Mature Student Home Away From Home Care Un oiseau apparait a 6h du matin The Water's Way
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.577 | 0.489 |
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; the direct Gemma label and the distilled Codex classifier 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".