Osborne Collection of Early Children’s Books: Toronto Public Library’s Research Collection of Juvenile Material
Bibliographic record
Abstract
'Viewing in my mind your vast and enterprising country, it is a great pleasure to feel that Toronto possesses a storehouse of rare and valuable children’s books which should enable students from all quarters of the globe to study in comfort the development and also the effects on young people of the books that have been written for them over the ages.' Edgar Osborne, letter to Harry Campbell, Chief Librarian of Toronto Public Library. April 22, 1964. At the time he wrote this letter, Edgar Osborne (1890-1978) had just received a doctor of laws degree, honoris causa, from the University of Toronto, in recognition of his contribution to Canadian literary history and education through the gift of the collection subsequently named in his honour. The conferral had been the highlight of a colloquium, joined by guests from around the world, held to celebrate the donation, made fifteen years earlier. Osborne had cause to be satisfied, for already the original 2,000 items had increased by some thousands, through gifts and purchases; the Collection was properly housed and a subject expert, Judith St. John, had prepared a scholarly catalogue of its holdings.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.023 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.172 | 0.044 |
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".