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Record W262756633 · doi:10.1353/mat.2013.a504582

Far North Tales: Stories from the Peoples of the Arctic Circle ed. by Kira Van Deusen (review)

2013· article· en· W262756633 on OpenAlexaboutno aff
Alexander D. King

Bibliographic record

VenueMarvels & Tales · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyFolkloreHistoryCircumpolar starNarrativeArcticLiteratureGenealogyClassicsArtArchaeology

Abstract

fetched live from OpenAlex

Reviewed by: Far North Tales: Stories from the Peoples of the Arctic Circle ed. by Kira Van Deusen Alexander D. King (bio) Far North Tales: Stories from the Peoples of the Arctic Circle. Translated and retold by Bonnie C. Marshall. Edited by Kira Van Deusen. Santa Barbara, CA: Libraries Unlimited, 2011. Bonnie C. Marshall has been traveling to Russia and collecting stories of many kinds for a long time. Her interest in Russia led her to Siberian peoples and their tales, which drew her into exploring the folklore of all peoples of the circumpolar North. The resulting book has more than eighty tales presented in seven thematically defined parts. Many but not all of the stories have notes that include Marshall’s sources and other useful background. The “reteller’s” introduction provides history and general information on peoples of the North, organized by culture group: Inuit, Yupik, Northwest America, Innu, Saami, and peoples of northern Russia (including Karelians but not Russians). The remarkable thing one comes away with after the introduction is the uniformity of experiences of colonization, suffering, and cultural renewal in the last thirty to forty years. The stories in Part 1 (“Tales of Daily Life”) struck me as a grab bag of silly encounters; I found them funny and entertaining. The good stuff really begins in Part 2 (“Creation Stories and Myths”), where Marshall retells some of the great classic myths of the North, including “Sedna” and “Raven Steals the Daylight.” The Raven story is credited as Inuit and Dene, but the notes point the reader to other versions among many cultures of the North American Northwest Coast. Part 3 (“Tricksters and Fools”) naturally includes several Raven tales, including those from Koryaks and Chukchi in northeast Asia and those from the American Northwest. Part 4 (“Legends and Pourquoi Tales”) contains many stories that one could classify as origin stories, but perhaps Marshall considers the origin of mosquitoes (from a cannibal monster, one of my favorites from Part 4) of a lesser order than the origin of caribou or how the sun got into the sky. Part 5 (“Stories About Animals and Marriages with Animals”) presents some of the most gripping stories because adventure is combined with intimate relationships. “The Woman Who Adopted a Polar Bear” cannot but end [End Page 125] sadly, as bears and people are fundamentally in conflict. The story about two girls who are abducted by Eagle and Whale and the one about a man marrying a seagull are also gripping adventures where the reader cannot be confident of the end until it happens. I found it difficult to clearly demarcate the last two parts: “Spirits, Shamans, and Shapeshifters” (Part 6) and “Heroes and Heroines” (Part 7). These two could have been combined with the tricksters section even, because the Trickster or Transformer is a standard category in Native American folklore. These stories are great adventures, often of vengeance, and feature various kinds of shamanic combat. Although I found many of the stories enjoyable to read, the further I read, the more disturbed I became. As a child, my first serious interest in Native American cultures came through reading Indian stories. They were intriguing puzzles, presented unadorned with details and full of action but rarely explaining motives for why coyote killed that one or ate another, for example. Marshall’s introduction seems to be intended for secondary school students, but its reliance on Wikipedia and other websites, many now gone, is hardly a model of scholarship for schoolchildren, especially because general background information on Arctic peoples is easy to find in readily available books. More disturbing, Marshall has erased the individual storytellers from the presentation of some gripping tales. The stories are presented as from a culture, and only occasionally are the names of the storytellers provided in the end-notes. Marshall presents an outmoded view of folklore, reminiscent of Richard Erdoes and Alfonso Ortiz’s (1984) collection American Indian Myths and Legends. Even twenty-five years ago they were attacked for erasing the names of individual storytellers and appropriating their art as anonymous oral traditions. Marshall’s retellings erase all the differences in style and voice among the different cultures of the Arctic...

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)0.002
metaresearch head score (Gemma)0.005
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: Review
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.008

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.

Opus teacher head0.019
GPT teacher head0.301
Teacher spread0.282 · 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".

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Citations0
Published2013
Admission routes1
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