Bibliographic record
Abstract
This article discusses the origins and development of the Collected Works of Erasmus series, a project to translate the vast majority of the Dutch humanist Erasmus of Rotterdam’s Greek and Latin writings into English. A unique partnership between the University of Toronto Press and a team of Canadian and international scholars, the series is roughly 70 percent complete. Sixty of the projected eighty-six volumes have been published. Conceived by the late Ron Schoeffel, a long-serving editor at the Press, the series is expected to be complete by 2030. Cet article examine les origines et le développement de la collection Collected Works of Erasmus, consistant en la traduction anglaise de la plupart des écrits en grec et latin de l’humaniste néerlandais Érasme de Rotterdam. Grâce à un partenariat unique entre les Presses de l’Université de Toronto et une équipe internationale de chercheurs canadiens et étrangers, la collection est maintenant terminée à 70 pourcent. Ce sont soixante des quatre-vingt-six volumes projetés qui ont été publiés. La collection, conçue par Ron Schoeffel, éditeur de longue date aux Presses de l’Université de Toronto, devrait être complétée d’ici 2030.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".