Bibliographic record
Abstract
Apr. 7, 2004 24 pgs Advice for surviving an uneventful summer internship; the rising cost of living in Canada is shattering the American Dream; the term McJob is added to the English dictionary; Wal-Mart once again awarded sweatshop retailer of the year. Contributers: David Bouquerel, Julie Ellis, Cathia Badiere, Ashley Beaulac, Andrea Spraakman, Kristin Foster, Jen Calder, M.A. Tamburro, Shula Yamane, Oneal Walters, Irena Kagansky, Julien Daviau, Julie Ellis, Matt Halse Editor-in-Chief: Chris Spraakman Assistant Editor: Julie Marion Sage Layout/Design: Chris Spraakman Cover Design/Layout: Jadzia Karas Photo Editing: Jadzia Karas Photographers: Julie Marion Sage, Peter Garver Copy Editing: M.A. Tamburro, Ashley Beaulac, Marija Repac, Zac Fillingham Article titles: The year that was 2003-2004 Dear Editor Letters The need for a standardized system of teaching evaluations is becoming increasingly evident Potential changes to the first year experience Fondu au noir Positive space: coming out @ Glendon My summer internment with an Owl The fading of the American Dream: the growing gap between the rich and poor The language of poverty We're all guilty of poor-bashing The have-not's in an age of prosperity: life is too much a game of chance for those with low wages In Canada, poverty is alive and well MSN puts coal in Wal-Mart's stocking A farewell to thirty years at Glendon College The revamping of the Glendon Manor Glendon's Fridge Festival The poetry of Daniel Jones Black sheep When juice-packets attack Aspiring poets Rwanda: quelle justice pour quel avenir? Genocide rwandais: le temps des bilans April's weather: rain & stress showers Chit chat with riff raff Dialogue des arts a la distillerie: ou le charme discret des briques rouges
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 | 0.004 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.762 | 0.727 |
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".