Bibliographic record
Abstract
Burks, James. Bird & Squirrel On The Run! New York: Scholastic Graphix, 2012. Print. After years as an artist in the hallways of the animation industry, author/illustrator James Burks takes an unlikely duo on an adventure of discovered friendship. Timid Squirrel, complete with winter food preparations and a fear of almost everything (“Don’t you know that cats are responsible for 47 percent of all squirrel deaths each year?”), suddenly loses his winter safety net in dramatic fashion, catching the hungry eye of a determined and ferocious cat. Squirrel has no choice but to grudgingly pair himself with the animal responsible for his loss, an adventurous Bird who brazenly lives in the moment (“The world is our oyster!”) but who attracts trouble with every swoop of his wing. Together they venture south to find warmth and food, dodging their persistently predatory cat and other natural hazards but find help along the way from a kind family of moles. A few shared life and death adventures later, Bird and Squirrel begin to appreciate and learn from each other’s ways, discovering new aspects of their own personalities while becoming true friends in the process. Burks uses clean lines and brightly coloured characters against more neutral backgrounds to frame clear and simple facial expressions that will appeal to younger readers. The fast paced story is presented with minimal change in perspective and timeline which makes this an ideal introduction to graphic novels for younger readers. Recommended: 3 out of 4 stars Reviewer: Annabelle Pendry Annabelle Pendry loves her job as Teacher Librarian at Mount Pleasant Elementary in Vancouver, BC.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.471 | 0.385 |
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".