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Record W4254215598 · doi:10.1353/bcc.2014.0961

Skraelings by Rachel Qitsualik-Tinsley (review)

2014· article· en· W4254215598 on OpenAlexaboutno aff
April Spisak

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsLegendNothingSiegeStorytellingWhite (mutation)FolkloreHistoryNarrativeArt historyArtLiteraturePhilosophyAncient history

Abstract

fetched live from OpenAlex

Reviewed by: Skraelings by Rachel Qitsualik-Tinsley April Spisak Qitsualik-Tinsley, Rachel Skraelings; written by Rachel and Sean Qitsualik-Tinsley; illus. by Andrew Trabbold. Inhabit, 2014 87 p Paper ed. ISBN 978-1-927095-54-6 $10.95 R Gr. 4–6 This brief novel that draws from traditional oral storytelling elements features Kannujag, a fictional Inuit hunter who may know nothing of the modern life the reader experiences a thousand years later (as the narrator explains), but who is deeply informed about the nomadic hunting life of the Inuit. Mostly the Inuit and Tuniit people in his region steer clear of one another (to the extent that legends in each group suggest the others aren’t quite human), but Kannujag’s ethics don’t allow him to just ignore a scene he stumbles upon: a Tuniit village under siege by ominous men in boats. His involvement will leave him permanently changed. The story’s conclusion offers insight into the fact that the invaders were Vikings, the location was Greenland, and Kannujag’s fears that there would never be peace again in his life weren’t quite borne out, but future generations would certainly suffer under colonization. The authors adroitly balance fiction, legend, and nonfiction, and they package it all with the perfect knowing narrator who has plenty of asides to keep readers on track and up to speed, while never breaking the flow of the story itself. Most chapters are accented with a brooding black-and-white illustration that primarily emphasizes the stark gravity of what the protagonists face. While a deep understanding of this text will certainly be enhanced by cruising through the glossary or knowing at least a bit about Inuit cultures, the story itself is gripping, haunting, and elegantly told, and it can stand alone even for readers who resist all efforts at contextualization; it could also partner interestingly with Dorris’ Morning Girl (BCCB 10/92). End matter includes a pronunciation guide and extensive glossary. Copyright © 2014 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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.277
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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