Bibliographic record
Abstract
Oct. 16, 2007. 16gs. United States senator sues God for widespread terrorism and destruction; Robbery of donut leaves man facing possible 30-year sentence; Glendon pub nights return; GCSU President Hani El Masry addresses students; the best exhibits of Nuit Blanche; YouTube, YouChoose and the Internet revolutionize political campaigns; The Drowsy Chaperone returns to Toronto. Contributers: Janie-France Barbe, Anastasia Beaverhousen, Hani El Masry, Samantha Feder, Sara Laconte, Kimberly MacIsaac, Emily Mewett, Andree Paulin, Alex Ross, Bertrand Valery, Lourdes Villamor. Editor-In-Chief: Ashley Jestin Assistant Editor: Clara Wille News: Jesse Reynolds Health and Wellness: Marisa Baratta Campus Life: Ashley Jestin Expressions: Jacinto Wong French: Ariane Bissou Entertainment: Jacinto Wong Metropolis: Clara Wille Photographer: Irena Kramer Politics: Dave Morris Cartoonist: Laura Sajdik Arts and Culture: Carlee-Ann Clingwall Design and Layout: Jacinto Wong, Cliff Davidson Letter from the editor letters to the editor Why I'm no longer single: a personal response to why I'm single United States senator sues God Donut thief could serve hard time Les grand-meres accouchent...de leurs petits-enfants! Russian boy wings it 1,300km The glorious return of Glendon pub nights Rugby: isn't that like football, but without the pads? GCSU Presidential address GCSU update Tell me no secrets Glendon tells Pro-Tem its secrets Fashion advice to Glendon Nuit Blanche illuminates Toronto night YouChoose: campaigning just got a whole lot cheaper Amour, gloire et bombe nucleaire Man in chair in the Drowsy Chaperone Let the Rocky Horror chill you, thrill you and fullfill you Down with Webster rocks the Reverb La frenesie des francophones face a la sortie du dernier tome d'Harry potter Bloody 'ell: tainted blood transfusions cause infections and death Exercise-no sweat Healthy happenings Residence recipes Expressions Dear John Tory Horoscopes Comics Bill Maher Quotes
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.728 | 0.728 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".