Bibliographic record
Abstract
Gammell, Stephen. Mudkin. Minneapolis: Carolrhoda Books, 2011. Print.Kids love mud. Of this there is no doubt. There is nothing like an afternoon spent knee-deep in ooze to undo the adult tyranny of cleanliness and crown a child king— or queen, as in the case of Mudkin. In this latest offering by Caldecott-winning illustrator Stephen Gammell, an imaginative young girl teams up with a playful sprite whose onion-shaped head and squat, gnomelike body are comprised, it would seem, entirely of mud. Mud-made too are the robe and crown he offers the girl, who gladly accepts her newfound role as monarch of muck. Together, the two of them caper and romp through a backyard mud-kingdom, until the rainclouds gather and wash Mudkin and his mud-realm away. The story’s premise – a child conjuring a magical playmate out of the elements – seems familiar, echoing as it does an illustrated masterwork of an earlier generation: Raymond Briggs’s wordless classic, The Snowman. Yet while Briggs’s story ends in a minor key (the snowman, wondrously alive for a single night, melts away in the morning sun), Mudkin’s watery fate carries no sadness; nor does it offer, as The Snowman does, a tacit elegy on the transience of childhood. Gammell’s riotous watercolours (so ecstatically fluid they erupt like geysers on the page) affirm this distinction: mud, unlike snow, is chaotic and unsentimental. Not a medium for reflection, it is the stuff of pure play. As a result, Mudkin is nothing more and nothing less than a bit of good – if not entirely clean – fun. Recommended: 3 out of 4 stars.Reviewer: Sarah Mead-WillisSarah is the Rare Book Cataloguer at the University of Alberta's Bruce Peel Special Collections Library. She holds a BA and an MLIS from the University of Alberta and an MA in English Literature from the University of Victoria.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.286 | 0.222 |
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".