Bibliographic record
Abstract
[para. 1]: "Lt. Harry Colebourn made a crucial contribution to the world of children’s literature and culture, even if it was wholly unanticipated. The historical events that brought together the bear and the author of one of the most enduring classics of children’s literature (not to mention a global popular culture phenomenon) are by now widely known: while travelling by train to Valcartier Quebec, where he would join the Veterinary Corps, Colebourn purchased a female black bear cub in White River, Ontario from the trapper who had shot its mother. He named the cub “Winnie” after his hometown of Winnipeg, and brought her with him when he shipped out to England at the beginning of World War I. The cub became the unofficial mascot for the Fort Garry Horse, the regiment to which Colebourn was attached as a veterinarian. When he was deployed to France, Colebourn left Winnie in the care of the London Zoo; by the time he was able to return to London after completing his service some four years later, Winnie had become an extremely popular attraction at the zoo, prompting Colebourn to donate the bear permanently. Winnie remained one of the London Zoo’s most beloved inhabitants until her death in 1934."
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".