Bibliographic record
Abstract
Simard, Rémy . Gustave. Illus. Pierre Pratt. Groundwood Books, 2014. Print.A young mouse has been playing with his friend, Gustav, just a little too far from home, and tragedy has struck. Pierre Pratt signals despair and disaster in the blackened pages and the first two words, “He’s gone.” The grim grey streets echo a little mouse’s grief and fear, for it is a cat who has seized Gustav. “Run. Escape.” The mouse cries on his way home, worried about what his mother will say.Just a moment… black as the story seems, grim as the dark colours are that echo the mouse’s grief, look back. Look at the eyes of the two little mice as they cling. Are Gustav’s eyes those of a living mouse, or are they those of a toy?All is dark, only to become lighter as the mouse reaches home and tells his mother what has happened. She comforts him, and when he is calm, she takes him to a cupboard where there is another little stuffed mouse with Gustav’s button eyes. The little mouse looks, little mouse eyes to toy mouse’s button eyes. The young mouse finds that he can like his new toy.Rémy Simard’s tale expresses that deep affection for a toy that brings it alive in a special relationship - think of Christopher Robin and Pooh. The loss of that toy may be devastating, but it can be relieved by an understanding adult and the coming of a new companion.A strong short tale completed by sensitive illustrations express first terror and then love and relief. That first childhood loss of a beloved companion, a teddy left on the bus, a doll abandoned at a picnic, whatever the scenario, here is the dark world of that loss and the warm comfort of a new companion.The tale may be seemingly too dark for many young children to read on their own. This is a book to share where re-assurance can make this expression of a first loss a story to appreciate.Recommended: 3 out of 4 starsReviewer: Andrea DeakinAndrea has been involved with books since she was class librarian in Primary School, Student Librarian in Grammar School, student librarian for the Education Faculty when she was a student, and school librarian in schools both in England and in Canada, except for the first two years in Canada where she arrived in 1959. When she retired from teaching ( English and History) she was invited to review in February 1971, and continued to review for press, radio, and finally on the Internet (Deakin Newsletter from Okanagan College) until she retired in 2011. Forty years seemed sufficient- although she still cannot keep her nose out of good children's and YA fare.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.524 | 0.427 |
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".