The Production and Consumption of Music in the Digital Age. Edited by B.J.Hracs, M.Seman, and T.E.Virani, New York, NY: Routledge. 2016. 278 pp, $115.00 (hardback edition). ISBN 9781‐13885‐1658.
Notice bibliographique
Résumé
Music geography has enjoyed significant theoretical and empirical advances since the 1980s, in part due to emerging digital technologies and the spatial impact of globalization forces.Music has always been inextricably intertwined with the constantly shifting cultural, economic, political, and social relationships that shape who we are, what we produce, and how we consume.Music reflects social values, hopes, and aspirations, and serves as a mirror for societies in myriad spatial settings.This welcome volume brings scholarship on music firmly into the new millennium, with the goal of explicating recent transformations in the production and consumption of music across today's rapidly changing marketplace.In an introductory overview, the volume's editors contextualize the following 17 chapters by arguing for an economic geography framework that shows how an "interconnected sonic ecosystem" (p. 3) is emerging at multiple scales and across diverse musical landscapes.Collections of essays are notoriously difficult sometimes to link together with consistent themes and approaches.The editors divided the contributions into five sections: recording, working, playing, distributing, and promoting and consuming.At first glance, this approach does not seem appropriate, as distribution would logically follow recording, while working and playing should, perhaps, be at the end, with production and consumption positioned in the middle of the five sections.This is a minor quibble, though, as the individual essays do fit well within each section and there is a coherent interconnecting structure to each essay and to each section.A larger concern is the noticeable absence of maps and graphics, with the exception of the very engaging chapter on musical venues in Pittsburgh and Nashville.Chapter 8, for example, examines the local music scene in Dalston, London, with no visual evidence at all of the place, context, culture, or built environment.Essays like this one cry out for visual support to show the where, how, and why of music consumption.Two essays in the recording section (Chapters 2 and 3) offer empirical evidence of the challenges facing music production in a digital world.At the micro-level, Watson examines freelance music producers and their working conditions within a framework created by the significant mobility and plasticity of contemporary digital recording technologies.His argument is that this type of labor leads to a merging of regular work hours with leisure time, something he calls labor "extensification," as well as an increase in demand for the producers' time in a 24/7 production environment, which Watson describes as the "intensification" (p.18) of labor demand.Ardita argues that, at the macro-scale, the dispersal of recording studio locations away from traditional central-city sites in London, New York, and Los Angeles, for example, driven by a wave of new digital audio workstations, has disrupted traditional labor relationships.Ever-cheaper recording equipment has opened up the industry to competition by circumventing traditional but costly recording studios.This chapter hit home for me because my younger brother in the UK has a very successful business designing and constructing Growth and Change
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,008 | 0,008 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,012 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».