MétaCan
Menu
Retour à la cohorte
Enregistrement W1981860375 · doi:10.1353/utq.2005.0082

Nart Sagas from the Caucasus: Myths and Legends from the Circassians, Abazas, Abkhaz, and Ubykhs (review)

2004· article· en· W1981860375 sur OpenAlexvenueno aff
Víctor A. Friedman

Notice bibliographique

RevueUniversity of Toronto Quarterly · 2004
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueLinguistics and language evolution
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMythologyLegendSanskritHistoryGeorgianLiteratureIrishFolklorePoetryClassicsLinguisticsArtPhilosophy

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Nart Sagas from the Caucasus: Myths and Legends from the Circassians, Abazas, Abkhaz, and Ubykhs Victor Friedman (bio) John Colarusso. Nart Sagas from the Caucasus: Myths and Legends from the Circassians, Abazas, Abkhaz, and Ubykhs Princeton University Press. xxiv, 552. US $35.00 The sagas of the Narts, tales and myths of a race of larger-than-life heroes descended from a single mother and living before the time of men, recited [End Page 390] and sung by male and female bards as both poetry and prose, are among the most important works of the world's traditional literatures. Nart traditions are found among peoples speaking languages from four different linguistic families all along the mountains of the North Caucasus and even among the Svan and Georgian highlanders, who belong to a fifth linguistic family (Kartvelian) and live just over the peaks in the South Caucasus. John Colarusso has given us a definitive collection and masterful translation directly from the Northwest Caucasian linguistic tradition that can be enjoyed as recreational reading or, thanks to the fine scholarly apparatus that is both informative and unobtrusive, studied for research purposes or used in the classroom. The name Nart is of Iranian origin from an Indo-European root that is the source of words meaning 'man,' 'hero,' etc, in Sanskrit, Old Irish, Italic (e.g., the Sabine proper name Nero means 'strong'), and Greek (the source of the English prefix andro- and the suffix -andry). As the most archaic of the Nart corpora, the Northwest Caucasian Nart sagas preserve an ancient Iranian core, but also contain Northwest Caucasian accretions of such antiquity that they serve as a window into a more archaic past. Some of the tales are uniquely Northwest Caucasian in their thematics, others have recognizable parallels with traditions and literatures such as Greek and Sanskrit mythology, Homer and the Bible, Norse, Old Irish, and Slavic as well as ancient Hittite and Hurrian myths, Kartvelian culture, and also Russian magic tales. After an excellent introduction placing the Northwest Caucasian Nart corpus in its larger historical context, the main body of the book is divided into four sections containing selections from the Circassian and Abkhaz corpora as well as all that is available of the Ubykh and Abaza corpora, the total number of sagas being ninety-two. Each text is followed by commentary setting it in its general cultural context, including fascinating and enlightening excursions into comparative mythology, followed by footnotes etymologizing names, peculiar words, and commenting on specific details, the most anomalous of which, argues Colarusso, are likely to be the most archaic, since the only reason for their presence is tradition. The fifth major section is an appendix giving sagas in five Northwest Caucasian languages: one each in Kabardian East Circassian, Bzhedukh West Circassian (Adyghe), Ubykh, Abaza (Tapanta dialect, 'Northern Abkhaz') and Bzyb Abkhaz. Each text begins with a chart of the phonological system and a discussion of salient features of the phonology, all of which are extraordinarily rich in consonants and famously poor in vowels. The introduction to the Kabardian East Circassian saga also has notes on verbal inflection and syntax which apply to all five sagas. Each saga is then given phonetically in numbered sentences. Below each sentence each word is given in phonemic transcription and separated into morphemes, and next to each word is a morpheme by morpheme gloss into English. At the [End Page 391] end, each numbered sentence is translated into grammatical English. The English translations of the Ubykh and Abaza sagas in the appendix are more literal than those in the main body in the text so that the reader can follow the original more easily. The book closes with a bibliography of around two hundred items. This work is an extraordinary achievement, and at the same time it is an invitation to future research. Kevin Tuite supplied Colarusso with many valuable comments on relevant material from Kartvelian, but I noticed a number of parallels with Russian themes that could also be pointed out. Having written my BA thesis on Russian magic tales almost thirty-five years ago, I found my old interests revived by reading this collection. There is something here for...

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,002

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 Opus0,010
Tête enseignante GPT0,186
Écart entre enseignants0,175 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations1
Publié2004
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of Toronto QuarterlyMême sujetLinguistics and language evolutionTravaux en français237 207