Bibliographic record
Abstract
Joyce, Gare. Northern Dancer: King of the Racetrack. Markham, ON: Fitzhenry & Whiteside, 2012. Print.It is not often that you find a biography of an animal, but in this case, the animal was a national icon. According to Gare Joyce, Northern Dancer, the great racehorse “made more money as an accomplished racehorse and sire than any Canadian athlete in history – even more than Wayne Gretzky ”. The book begins with a genealogical chart that shows that of the 19 horses starting in the 2011 Kentucky Derby, 18 were descended from Northern Dancer.This book chronicles Northern Dancer from his birth through to his wins and standing at stud until his death at age 29. Through his story, the reader also learns about the world of North American thoroughbred racing. We meet the great jockeys: Ron Turcotte, Willie Shoemaker and Bill Hardtack who all rode Northern Dancer to victories. We learn about the development of racehorses and the major races: The Preakness, The Belmont, The Kentucky Derby and the Queen’s Plate. Joyce writes informally and conversationally, as though he is telling one long story. For example, he tells us that Northern Dancer “became unruly around his stall…At least once he ripped the shirt off his trainer.” Later we are told that a trainer inadvertently let Northern Dancer run hard the day before a race and people thought that no thoroughbred could “run the equivalent of two races on two consecutive days. As it turned out, the only ones hurting after the Florida Derby were those who hadn’t bet on the heavily favoured Northern Dancer.” The text is accompanied by many photos of Northern Dancer, including archival images of horse and jockey in races, at the wire and in the winners’ circle. Overall, this is an enjoyable story of a remarkable horse. Northern Dancer: King of the Racetrack is highly recommended for junior high school libraries and public libraries everywhere. Highly recommended: 4 stars out of 4Reviewer: Sandy CampbellSandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.154 | 0.083 |
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".