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Enregistrement W4238214383 · doi:10.13110/marvelstales.27.1.0125

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2013· article· W4238214383 sur OpenAlexaboutno aff
Alexander D. King

Notice bibliographique

RevueMarvels & Tales · 2013
Typearticle
Langue
DomaineHealth Professions
ThématiqueIndigenous Studies and Ecology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHistory

Résumé

récupéré en direct d'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...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,097
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0420,001
Communication savante0,0000,001
Science ouverte0,0010,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0170,017

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,052
Tête enseignante GPT0,347
Écart entre enseignants0,296 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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