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Record W4249375487 · doi:10.1353/bcc.2013.0772

Little Red Lies by Julie Johnston (review)

2013· article· en· W4249375487 on OpenAlex
Elizabeth Bush

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrotherDramaPsychoanalysisWhite (mutation)SociologyArt historyPsychologyArtHistoryLawLiteraturePolitical science

Abstract

fetched live from OpenAlex

Reviewed by: Little Red Lies by Julie Johnston Elizabeth Bush Johnston, Julie Little Red Lies. Tundra, 2013 340p ISBN 978-1-77049-313-1 $19.95 E-book ISBN 978-1-77049-314-8 $10.99 R Gr. 7-9 Adolescence isn’t sitting well with Rachel, whose drama-queen propensities amplify her reaction to every perceived trouble or slight—and life isn’t particularly trouble-free in her family at the moment. Her beloved brother Jamie is just home from World War II, recovering well from his physical injuries, but he’s jobless, at odds with his girlfriend, and now diagnosed with leukemia. While the family turns the lion’s share of attention to Jamie, Rachel tries to establish herself in the school drama department, where she proves to be ineffectual as an actress. She does, however, catch the attention of the young teacher/director, Mr. Tomkins, who seems to know just which girls are in distress and preys on their vulnerabilities. Although this Canadian import is a work of historical fiction, readers who favor domestic drama will be the audience most appreciative of Rachel’s social missteps. Driven by her own over-emotional nature and casual attitude toward deceit, Rachel is often as shameless as the Little Red Lies crimson lipstick she sports to make herself appear sophisticated. Her mistakes have a way of making her sympathetic, though, and by the end, she’s a bit more self aware; her growth—and potential for further wising up—is credibly portrayed. Secondary characters are robustly drawn, and the unpredictability of the plotline should keep readers engrossed through each of Rachel’s cringe-worthy blunders. Copyright © 2013 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.200
Teacher spread0.191 · 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