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Record W191475684 · doi:10.20361/g2pp48

Tales from the Tundra: A Collection of Inuit Stories by I. Kaslik

2011· article· en· W191475684 on OpenAlexvenueaboutno aff
Sandy Campbell

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFantasyWhite (mutation)CreaturesVisual artsClothingHistoryStyle (visual arts)PublishingArtArt historyMedia studiesLiteratureSociologyArchaeology

Abstract

fetched live from OpenAlex

Kaslik, Ibi. Tales from the Tundra: A Collection of Inuit Stories. Illus. Anthony Brennan. Iqaluit: Inhabit Media, 2010. Print. Inhabit Media is an Inuit-owned, independent publishing company that “aims to promote and preserve the stories, knowledge, and talent of northern Canada.” This collection of five traditional Inuit stories from different regions in Nunavut is one of their most recent offerings. Three of the stories tell of how specific animals came into being. One tells how the raven and loon came to look the way they do and the fifth, The Owl and the Siksik, is a typical story of outwitting the enemy. Anthony Brennan’s illustrations have a two-dimensional fantasy quality to them that is more reminiscent of cartoons or Japanese anime than of traditional Inuit art. Many of the creatures are outlined in black and then filled with solid colour. While the backgrounds are usually ice-blue, and there are pastel colours in the images, many of the main parts of the drawings are black, giving the book an overall ominous look. While these stories are described in the forward as “contemporary retellings”, Kaslik’s voice is similar to that of an elder telling stories and her style is traditional. The language is simple and direct, occasionally incorporating Inuit words. Animals are anthropomorphized. They do the same sorts of things that humans do and have human emotions and foibles. For example, in “The Raven and The Loon”, the two birds sew clothes for each other. When Raven thinks that Loon is sewing too slowly, she reacts impatiently: “Please, sew faster!” impatient Raven pleaded.” Kaslik also uses internal dialogue, another traditional technique, to allow the reader to listen to the characters reasoning out their actions. For example, “Siksiks often go in and out of their dens,” thought the owl, believing himself to be very clever. “Today I will find a siksik den and wait there until I see one.” There are few children’s books of Inuit mythology available, and fewer that have the authenticity of being published by an Inuit publishing house. Overall, this volume is a small, but welcome addition to the field, through which many children will be able to learn about the mythology of the Inuit. For public and school libraries everywhere. Highly recommended: 4 out of 4 stars Reviewer: Sandy Campbell Sandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.002
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0210.006

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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
Published2011
Admission routes2
Has abstractyes

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