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Enregistrement W2795110035 · doi:10.1353/not.2018.0007

A Song to Save the Salish Sea: Musical Performance as Environmental Activism by Mark Pedelty

2018· article· en· W2795110035 sur OpenAlexaboutno aff
Travis D. Stimeling

Notice bibliographique

RevueNotes · 2018
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueDiverse Musicological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousScholarshipMusicalHistoryIndex (typography)MusicologyMedia studiesEnvironmental ethicsVisual artsSociologyPolitical scienceArtLawEcology

Résumé

récupéré en direct d'OpenAlex

Reviewed by: A Song to Save the Salish Sea: Musical Performance as Environmental Activism by Mark Pedelty Travis D. Stimeling A Song to Save the Salish Sea: Musical Performance as Environmental Activism. By Mark Pedelty. (Music, Nature, Place.) Bloomington: Indiana University Press, 2016. [xv, 283 p. ISBN 9780253022684 (cloth), $75; ISBN 9780253023001 (paperback), $27; ISBN 9780253023162 (e-book), varies.] Music examples, illustrations, bibliography, index. Communication studies scholar Mark Pedelty has been one of the loudest voices in ecomusicological scholarship over the past several years, writing extensively about the ways that popular musicians respond to environmental crises on a local, regional, national, and global scale. His previously-published book, Ecomusicology: Rock, Folk, and the Environment (Philadelphia: Temple University Press, 2012), outlined the myriad ways that musicians are bound by the limitations of our carbon-oriented transportation and communications infrastructures and the West's consumerist tendencies. In his latest book, A Song to Save the Salish Sea, Pedelty turns his attention to a specific ecosystem, the Salish Sea region stretching from Washington to British Columbia. A major international waterway with deep connections to the region's indigenous peoples, the Salish Sea has been under threat for decades as fossil fuel companies have sought to use the waterway as an export pathway, and the U.S. military-industrial complex has treated it as a significant strategic resource. In this book, Pedelty, who has been summering in the area for more than fifteen years, presents an ethnographically grounded study of the overlapping community of musicians who have been involved in environmental activism in the region for the past five decades or more. Pedelty's study focuses on seven individual musicians and groups who call the Salish Sea region home; he conducted extensive interviews with them, and joined protests and concerts as a participant observer as well. To varying degrees, these musicians have engaged with a variety of key environmental issues that have both direct and indirect impacts on life in the region. For instance, Dana Lyons, a songwriter from Bellingham, Washington, mounted a multi-city tour along a proposed coal haul route to draw attention to the potential impacts of a proposed coal terminal at Cherry Point, Washington. The Irthlingz, a duo from Orcas Island, conducted interviews with people who are living with the impacts of coal extraction and consumption in their Coal Monologues project. And Vancouver musicians Bobs & Lolo created original music to develop environmental awareness among the young children who visit the Vancouver Aquarium. Larger organizations, such as the Raging Grannies "gaggle" in Victoria and the Idle No More protestors of Turtle Island, demonstrated the important roles that women's and indigenous peoples' voices, respectively, have played in environmental activism around the Salish Sea. Each figure or group receives a chapter-length treatment that documents its history; discusses the musical, political, and organizational strategies that govern its actions; and considers the lessons that each case study might offer for other musicians who wish to engage meaningfully with environmental issues. As a communication studies specialist, Pedelty is primarily concerned with the ways that these musicians communicate their environmentally oriented messages to their audiences. Detailed discussions of specific rhetorical strategies heard in songs, onstage banter, and personal narratives constitute much of each chapter. At the same time, Pedelty also offers insights into the economic and organizational challenges that each research consultant [End Page 418] has faced as they have undertaken this work. For instance, he observes that, for the most part, environmentally oriented musicians often struggle for their voices to be heard among the din of global commerce (including the music industry). As a consequence, some of the musicians profiled here have chosen to work locally to mobilize their friends and neighbors toward greater ecological consciousness. Moreover, these musicians have recognized the value of coordinating their efforts with those of other organizations that share their mission. As such, the musicians profiled in Pedelty's work might be seen as part of a broader ecosystem of individuals and groups working to develop policy, to foster greater social justice, and to educate the community about the world in which it functions. Pedelty's efforts in A Song to Save the Salish Sea are shaped by his...

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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,985
Score d'incertitude au seuil0,101

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,002
Communication savante0,0050,004
Science ouverte0,0010,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0300,007

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 Opus0,058
Tête enseignante GPT0,225
Écart entre enseignants0,167 · 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'étudeQualitatif
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
Publié2018
Routes d'admission1
Résumé présentoui

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