Bibliographic record
Abstract
Reviewed by: Thumb and the Bad Guy Deborah Stevenson Roberts, Ken. Thumb and the Bad Guy; illus. by Leanne Franson. Groundwood/House of Anansi, 2009 [120p]. ISBN 978-0-88899-916-0 $17.95 Reviewed from galleys R Gr. 3–6 The little Canadian fishing village of New Auckland contains all of 143 people, and Thumb and his friend Susan, both twelve years old, sometimes wish it were a little more exciting. They begin to think they’ve found a bad guy in Kirk McKenna (“He spits a lot”), so they attempt to uncover what they’re sure will be his terrible secret. Meanwhile, a new teacher has arrived in the village, and she encourages her students into doing some uncovering of their own when she discovers a significant historical artifact in the mayor’s front yard. Though the mild mystery is entertaining, the real pleasure here is the depiction of everyday life in Thumb’s isolated and eccentric village. Roberts has a tone of matter-of-fact wonderment that recalls the writing of his countryman Brian Doyle (Uncle Ronald, BCCB 2/97), while his humor ranges from the broad to the dry. There are enough touches of characterization to make following Thumb and Susan worthwhile, and the mystery moves along briskly and accessibly. Light-hearted cartoonish illustrations appear occasionally, adding even more invitation to an already enjoyable and speedy read. Copyright © 2009 The Board of Trustees of the University of Illinois
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.025 |
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".