From Indie to Alternative Rock

Songbooks ◽  
2021 ◽  
pp. 326-330
Keyword(s):  
Popular Music ◽  
2006 ◽  
Vol 25 (1) ◽  
pp. 77-95 ◽  
Author(s):  
MATTHEW BANNISTER

Indie alternative rock in the 1980s is often presented as authentically autonomous, produced in local scenes, uncaptured by ideology, free of commercial pressures, but also of high culture elitism. In claiming that the music is avant-garde, postmodern and subversive, such accounts simplify indie's historical, social and cultural context. Indie did not simply arise organically out of developing postpunk music networks, but was shaped by media, and was not just collective, but also stratified, hierarchical and traditional. Canon (articulated through practices of archivalism and connoisseurship) is a key means of stratification within indie scenes, produced by and serving particular social and cultural needs for dominant social groups (journalists, scenemakers, tastemakers, etc.). These groups and individuals were mainly masculine, and thus gender in indie scenes is an important means for deconstructing the discourse of indie independence. I suggest re-envisioning indie as a history of record collectors, emphasising the importance of rock ‘tradition’, of male rock ‘intellectuals’, second-hand record shops, and of an alternative canon as a form of pedagogy. I also consider such activities as models of rational organisation and points of symbolic identification.


2020 ◽  
pp. 160-181
Author(s):  
David Menconi

During the 1990s, record companies were looking for the next big alternative rock breakout and focused a lot of attention on Chapel Hill, where bands like Superchunk, Archers of Loaf, and Polvo resided. Two Chapel Hill bands would hit it big, but they were the last two anyone would have expected -- the hot-jazz band Squirrel Nut Zippers and piano-pop trio Ben Folds Five.


2018 ◽  
Vol 3 (53) ◽  
pp. 81-90
Author(s):  
Marek Jeziński

In the paper I analyse the ways in which a city, urbanism, city space and people living in urban environment are portrayed in Polish popular music, especially in the songs of Polish alternative bands of the 80. inthe 20th century. In popular music, the city is pictured in several ways, among which the most important is the use of words as song lyrics that illustrate urban way of life. The city should be treated as an immanent part of the rock music mythology present in the songs and in the names of bands. In the case of Polish alternative rock music of the 80.such elements are found in songs of such artists as Lech Janerka, Variete, Siekiera, Dezerter, Deuter, AyaRL. The visions of urbanism taken from their songs are the exemplifications used in the paper.


2009 ◽  
Vol 20 (11) ◽  
pp. 1697-1718 ◽  
Author(s):  
CHRISTOPHER MONTEROLA ◽  
CHERYL ABUNDO ◽  
JERIC TUGAFF ◽  
LORCEL ERICKA VENTURINA

Accurately quantifying the goodness of music based on the seemingly subjective taste of the public is a multi-million industry. Recording companies can make sound decisions on which songs or artists to prioritize if accurate forecasting is achieved. We extract 56 single-valued musical features (e.g. pitch and tempo) from 380 Original Pilipino Music (OPM) songs (190 are hit songs) released from 2004 to 2006. Based on an effect size criterion which measures a variable's discriminating power, the 20 highest ranked features are fed to a classifier tasked to predict hit songs. We show that regardless of musical genre, a trained feed-forward neural network (NN) can predict potential hit songs with an average accuracy of Φ NN = 81%. The accuracy is about +20% higher than those of standard classifiers such as linear discriminant analysis (LDA, Φ LDA = 61%) and classification and regression trees (CART, Φ CART = 57%). Both LDA and CART are above the proportional chance criterion (PCC, Φ PCC = 50%) but are slightly below the suggested acceptable classifier requirement of 1.25*Φ PCC = 63%. Utilizing a similar procedure, we demonstrate that different genres (ballad, alternative rock or rock) of OPM songs can be automatically classified with near perfect accuracy using LDA or NN but only around 77% using CART.


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