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Enregistrement W4401803689 · doi:10.1215/00141801-11162454

Listening to the Fur Trade: Soundways and Music in the British North American Fur Trade, 1760–1840

2024· article· en· W4401803689 sur OpenAlexaffabout
Chris Greencorn

Notice bibliographique

RevueEthnohistory · 2024
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueAmerican History and Culture
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésFur tradeActive listeningHistoryVisual artsArtPsychologyCommunicationEconomic history

Résumé

récupéré en direct d'OpenAlex

The North American fur trade is a central focus for ethnohistorical scholarship in Canada. In his new monograph on a familiar topic, Daniel Robert Laxer argues that “by listening, we can better understand the fur trade’s social dynamics and cultural contours” (22). Naturally, the sounds of the fur trade were for the most part ephemeral; we cannot hear the past as it really was. Despite this, Laxer demonstrates how scholars may still profitably attune themselves to the traces of these sonic histories.Chapters in Listening to the Fur Trade focus on key elements of the soundscapes attested by British fur traders in the heyday of the Hudson’s Bay Company. Sounds produced by gunpowder, firearms, and military instruments (chapters 1 and 3), during cultural and diplomatic exchanges inside and outside the trading posts (chapters 2, 4, and 8), and by human and nonhuman agents on the journey from the Saint Lawrence River valley to the interior (chapters 5 and 6) comprise most of the subject matter. Chapter 7 engages directly with Indigenous healing and hunting songs, especially those associated with the Midéwiwin and Wabanowiwin traditions of the Anishinaabeg. Throughout, Laxer demonstrates a keenly watchful eye—or rather, listening ear—trained on latent sonic evidence of cultural exchange. He correctly states that this evidence and his attendant questions about the meaning and social function of sound and music “have been addressed only peripherally by historians of the fur trade” (15). To remedy this, Laxer marshals a diverse assortment of textual, visual, and material culture sources beyond the traders’ accounts. Notably, he references several Indigenous oral histories that both bolster his historical arguments and point toward the continuing relevance of his findings.Laxer models a rapprochement between ethnohistory, on the one hand, and ethnomusicology and sound studies, on the other, but this is perhaps where Listening to the Fur Trade is most open to critique. One of Laxer’s more significant influences is Richard Cullen Rath’s (2003) How Early America Sounded, from whom he adopts the term soundways. Following Rath, Laxer also adopts the term soundscape from Canadian composer and pedagogue R. Murray Schafer. Yet he fails to engage with Schafer’s racist attitudes toward the soundways of Indigenous peoples. This is a significant oversight since recent scholars, especially Stó:lō scholar Dylan Robinson (2020), have focused on understanding “settler colonial listening positionality.” In a similar vein, Laxer identifies but ultimately does not make sustained use of anthropologist and ethnomusicologist Steven Feld’s influential “acoustemology,” a portmanteau of acoustic and epistemology and another critique of Schafer.Laxer makes several claims to the effect that “music was a key feature of positive cross-cultural encounters” (15; emphasis added), although music and soundways generally were, of course, a key feature of negative encounters as well. To this end, he often writes in positive terms of cultural exchange and syncretism. This is especially true in chapter 8, which puts forward an early history of Métis fiddling and jigging without commensurate examination of the exploitative conditions under which such exchanges took place. Collectively, these missed opportunities isolate Listening to the Fur Trade from much ethnomusicological and sound studies scholarship over the last quarter century, including that on colonial encounters and exchanges. Other reviews have identified Robinson’s Hungry Listening as a potential rejoinder to Listening to the Fur Trade, a recommendation echoed here.As a work of ethnohistory, Laxer’s monograph is exceptional for its novel focus on the sonic aspects of the fur trade and for its innovative reinterpretation of a range of sources. As a work aiming to interface with ethnomusicology and sound studies, it is perhaps less successful. That notwithstanding, Listening to the Fur Trade is an engaging, accessibly written sonic history that offers many insights to researchers across several fields.

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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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,172
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,015
Tête enseignante GPT0,211
Écart entre enseignants0,196 · 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 tête enseignante, 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
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
Publié2024
Routes d'admission2
Résumé présentoui

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