Bibliographic record
Abstract
Editor-in-Chief: Paola Paulino Assistant English Editor: Natasha Faroogh Assistant French Editor: Nathalie Boudreau Editor of Campus Life: Alexa Posliff Editor of Issues and Ideas: Olivia Blackmore Editor of Health and Wellness: Victoria Ramsay Editor of Arts and Entertainment: Vendredi Mounsey Editor of Metropolis: Ayelen Barrios Ruiz Editor of Expressions: Rosemary Richings Associate Editors: Stephanie Settle, Nosheen Siddiqui, Anna-Kay Russell, Laura Stanley, Caitlin Battaglia, Erika Desjardins Photographer: Karaleigh Hayes Photography Assistant: Madiha Moiz Design and Layout: Lauren Glassman, Keith Morris Contributors: Karen Lam, Gillian Wassmansdorf, Stella Dakpo, Karolina Bednarek, Elsa Ascencio, Stephanie Mak, Nazampal Jaswal, Victoria Ciardullo, Jonathan Kates, Murta Abigail, Toks Weah, Artem Zaytsev, Sarah Littisha Jansen, David Rego, Megan Quinn, Kaitlyn D'eathe, Ennina Luli, Danielle Dias, Katarina Klipina, Danica Mohamed, Ikshaa Pai, Chloe Dumasal, Cassandra Tingley, Hanna Kaploun, Canaan Grall Are you thinking bilingual? Letter from the editor Campus life What is America doing in Germany? Welcome back Glendon! Le franglais sur le campus de Glendon The ultimate Glendon cheat sheet I've never heard of faculty council; why should I care? FSL or FRLS? Jumpstart the transition to university Legitimizing Lunik's legacy The lion's den: for the students, by the students Are you a friend of Glendon? Issues and ideas To be or not to be: My bilingual identity crisis Why Joseph Gordon-Levitt is better at the internet than you A comparison between two journalists and their stories Quebecois culture wars V: the PQ strikes back A red square for everyone L'evolution de slutwalk et ses critiques 20 things: I learned before I turned 20 Don't worry, I prefer to speak English The smallest significant revolution in baseball London Olympics 2012: A Brit's perspective September is a month of change for all university students Health and Wellness Be bilingual, be better Lunik's going green! A season of change Arts and entertainment Glendon Gallery featuring Pascal Paquette 'Tis the season for new shows Why being bad is so good Veld The wonderful world of French-Canadian music Boots and hearts delivered a wet n' wild weekend Metropolis Le secret de l'Ontario Hidden gems in Toronto Le papillon Toronto's French necessite? Why is there no French here? Expressions Ode to the winds of change Day and night Survival of the bilingualist Nobody's perfect Max Overacts
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".