Bibliographic record
Abstract
Sept. 23, 2003 16 pgs The blackout in eastern Canada and US raises alarm; Blackout responsible for death of Glendon student; families with higher income more likely to obtain post-secondary eduction; United States divided over Iraq War. Contributers: David Bouquerel, Rafael jacob, Lucy Moiseenko, Julien Daviau, Simon Paul, Andrea Pao, Matt Bramham, Vishali Malhotra, Tim Dobie Gunderson, Esther Wolf, Jon Swayze, Vasha Maharaj, Principle McRoberts, Leanna Fong Staffers-at-Large: Shula Yemane, Vanessa Stepnowski, Loic Lahournat, Elena Lapina, Naomi Macleod, Srimoyee M., Kristin Foster, Hooman Rowshanbin Editor-in-Chief: Chris Spraakman Assistant Editor: Julie Marion Sage Layout: Jake Mitchell Article titles: Mann to the world Editorials Les pages blanches Glendon grieves power outage victim Principle's message Of frogs, fire and Chile, Les premieres impressions de Glendon Higher income equals higher education Numero I: L'oeil Radio Glendon 2004- da dilly-o Censure There's no turning back now Chroniques nocturnes Movie reviews The Constantines- Shine a Light Frederique Vezina ou les secrets de la maitre-chanteuse
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.729 | 0.718 |
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".