Bibliographic record
Abstract
Reviewed by: Skinnybones and the Wrinkle Queen Karen Coats Huser, Glen Skinnybones and the Wrinkle Queen. Groundwood/House of Anansi, 2006232p ISBN 0-88899-732-9$16.95 R Gr. 7-10 Disaffected Tamara has been bounced into yet another foster home, but this time she is really going to try to follow her case worker's advice and be more positive. She still skips school to get her real education, though, spending as much time as she can watching fashion programs to prep for a modeling career. When a school service assignment teams her up with Miss Barclay, a cigarillo-smoking, brandy-sneaking elderly woman in a nursing home, they soon figure out that they can use each other to get what they want—Miss Barclay will pay for a weeklong modeling workshop in Vancouver if Tamara will drive her to Seattle for Wagner's Ring Cycle. Knowing that their respective caretakers will never approve, the two pull a Thelma and Louise and almost get away with it. Like Fleischman's Mind's Eye (BCCB 10/99), the novel sets up a likely/unlikely pair, both painfully aware of what they want and the limitations that keep them from it. Unlike Fleischman's pair, however, Miss Barclay and Tamara are equally matched for short tempers and grumpiness, and Miss Barclay turns out to be more unruly than Tamara. Chapters alternate first-person perspectives so readers get a chance to hear all that goes unsaid between the two and to see the generational and economic gaps in taste and values without any outside or heavy-handed arbitration. Both characters emerge as strongly [End Page 173] sympathetic rebels; readers will applaud their outlaw partnership and be glad that Tamara, at least, receives forgiveness and a fresh start. Copyright © 2006 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) | 0.002 | 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) | 0.027 | 0.008 |
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".