Bibliographic record
Abstract
Nov. 11, 2003 16 pgs. The drug, Poppers quickly becoming a favourite among Glendon students; Russell Crowe stars in a great adaptation of Patrick O'Brian's novel, Master and Commander: The Far Side of the World; Canadian girl describes the her experience in living in Atlanta; Love is actually a great holiday film; research proves your personality affects your research patterns. Contributers: Jeremy Fortier, Gerard Stocker, Cathia Badiere, David Bouquerel, Moira Calderwood, Andrea Pao, Shula Yemane, Jennifer Dekker, Martha Kateri Ferede, Naomi Macleod, Leanne Legault, Vishali Malhotra, Kristin Foster, Jon Swayze, Naomi Knight, Danielle Lamb, Esther Wolf, Maria Repac, Isabelle Cote, Jacqui Simon, Ashley Beaulac, Oneal Walters, Adil Mamodaly, Genevieve Blanchet. Editor-in-Chief: Chris Spraakman Assistant Editor: Julie Marion Sage Layout: R.D. Shaw, Jake Mitchell Photo Editor: Peter Garver Article titles: Drugged sex rocks Glendon We asked you Glendonites popping poppers perplexing to staff and students Pro-Tem creative contest Last encounter with the Glendon gallery Wallace's poet: exploring the theatrical aspects of poetry Srimoyee Mitra presents her latest production: Alice Is the war on drugs a war on freedom? Students' voices: important element in faculty council Where has Glendon been all my life? Naval gazing: a promising adaptation of a Patrick O'Brian novel Sortez de Glendon News in brief Canadian girl drowns in American melting pot GCSU holds town hall meeting to answer growing student questions Women's centre offers more than just positive space Une gaspesienne au pays de Mao Ashanti movies into poetry Use your library on buy nothing day Chronique nocturne: A la Grace...de Chloe Love Actually doesn't suck What's your mpBS? Have you met Marissa? What's your library personality? Poetry La fin de partie ou Pourquoi Napoleon etait un Mauvais Joueur d'echecs
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.772 | 0.740 |
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".