Bibliographic record
Abstract
nora foster stovel bruce stovel was a true scholar.His scholarly life began early with reading the classics, which he studied at the University of Toronto Schools.As a teenager, after a summer spent baling hay on a farm near Kincardine, Ontario, not far from the summer cottage his parents rented at Inverhuron, he set off hitchhiking, his suitcase filled with Latin and Greek texts.When he returned from his road trip, his mother asked him what he had learned: "I learned that people are pretty nice," he replied.Bruce remained devoted to Homer's Odyssey and Iliad and Virgil's Aeneid, frequently teaching them in courses on comedy and tragedy at Yale and Dalhousie universities.His essays on "Tom Jones and the Odyssey" and "Waverley and the Aeneid: Scott's Art of Allusion," included in this selection of his scholarly articles, are evidence of his continuing interest in classical texts and his belief in their relevance to English literature.When, the year before his death, we travelled for a month in Italy, where I had been teaching at Cortona, the destination he especially wished to visit was Sicily, in which his readings of classical authors had inspired interest.Sicily did not disappoint: for centuries a colony of various imperial powers, it boasted remnants of Etruscan, Greek, Roman, Norman, Byzantine, and Spanish cultures.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.442 | 0.157 |
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".