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Record 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 on OpenAlexaffabout
Chris Greencorn

Bibliographic record

VenueEthnohistory · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsFur tradeActive listeningHistoryVisual artsArtPsychologyCommunicationEconomic history

Abstract

fetched live from 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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2024
Admission routes2
Has abstractyes

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