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Record W4244928380 · doi:10.1353/bcc.2007.0820

Into the Ravine (review)

2007· article· en· W4244928380 on OpenAlexaboutno aff
Karen Coats

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureHERORavineHistoryDanceWhite (mutation)FrontierComedyBurlesqueArt historyArtVisual artsArchaeologyLiterature

Abstract

fetched live from OpenAlex

Reviewed by: Into the Ravine Karen Coats Scrimger, Richard Into the Ravine. Tundra, 2007260p Paper ed. ISBN 978-0-88776-822-4$9.95 R Gr. 6-9 After a storm knocks down some poplars near their fort, three thirteen-year-old boys, Jules, Chris, and Cory, decide there is only one thing to be done: build a raft and float down the creek behind their house into the river. Along the way, they meet with a host of quirky adventures, finally ending up in a tricky situation involving a boa constrictor, some smuggled emeralds, and a South American gangster. Each adventure can be read for its metaphoric significance in the passage from childhood to adulthood, but it's hard to bother with that when the situations themselves are so full of rich comedy. Jules is an incisive and witty narrator, playing with words and fantasies as he manages to tell the story of their raft adventure in the style of a tall tale. Woven into the mythic adventure are subtle commentaries on the state of contemporary life in a Canadian suburb, with the huge disparities between the very rich and very poor, the persistent problems of race, and the tension between wild spaces and urban development and detritus. Scrimger is a master at writing boy; without overt signaling, he pinpoints the anxieties, strengths, preoccupations, and weirdnesses that belong particularly to the kind of creature who floats down the river with his friends on a hot summer day, gets his first kiss, and becomes a hero, all on his way to becoming, if not a man, then at least an older and wiser boy. Copyright © 2007 The Board of Trustees of the University of Illinois

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1020.045

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.

Opus teacher head0.007
GPT teacher head0.224
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

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