Bibliographic record
Abstract
Editor in Chief | Redactrice en chef: Sarah Ariza-Verreault Chief of Operations | Chef des operations: Kaya Harris-Read English Editor | Redactrice adjointe anglais: Amanda Sears French Editor | Redactrice adjointe francais: Gabriella Giordan Media Officer | Agente des medias: Krysta Veneruz Photographer | Photographe: Adrienne Arzaga Layout Editor | Maquetteur: Connor Boyd Section Editors | Chroniqueurs Campus Life | Vie etudiante: Ayse Koca Issues & Ideas | Actualite et opinions: Sabrina Sukhdeo Metropolis | Metropole: Gulsvert Dela Cruz Arts & Entertainment | Arts et divertissement: Bruno Da Costa Health & Wellness | Sante et bien-etre: John Kemp Expressions | Expressions: Ayla Sljivar In this issue Vie etudiante: An eAmbassador’s tips for commuters, les raisons pour lesquelles l’echec est necessaire dans la vie et une presentation bilingue des membres de l’equipe de Radio Glendon Metropolis: The uprising of Toronto gun violence, a review of a TIFF premiere and a list of electronic music concerts Issues and Ideas: The Kavanaugh sexual assault controversy, a political science student’s musings on the importance of voting, et les manifestations en Niger Health & Wellness: Ce que pensent les etudiants des « relations toxiques » and a Keto cheesecake recipe Expressions: Un poeme amoureux et emouvant and a student’s meditation on sadness
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) | 0.004 | 0.003 |
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".