WECPNL is a formula of acoustic science used by civil aviation authorities in Japan to calculate ... more WECPNL is a formula of acoustic science used by civil aviation authorities in Japan to calculate the effects of aircraft noise on human health. It is presented here as a series of metaphors to reveal a political ecology of aircraft noise. Red flags flutter along a hilltop, silhouetted beside a makeshift scaffold tower and ranks of helmeted figures. The steel arm of a mechanical earthmover swings against the supports of the tower and as it shakes someone in the cradle at its peak draws a bow and fires an arrow at their attackers.
This study examined the relationship between music preferences (MP), listening styles (LS), funct... more This study examined the relationship between music preferences (MP), listening styles (LS), functions of music (FoM), perceived rasa (music), and personality traits (PT -Big Five Factors). A sample of 77 young adults (M = 39; F = 38; M = 22.7 years) completed measures of the above constructs and data were analysed via correlations, one-way ANOVA, post hoc tests, and T-tests.
WECPNL is a formula of acoustic science used by civil aviation authorities in Japan to calculate ... more WECPNL is a formula of acoustic science used by civil aviation authorities in Japan to calculate the effects of aircraft noise on human health. It is presented here as a series of metaphors to reveal a political ecology of aircraft noise. Red flags flutter along a hilltop, silhouetted beside a makeshift scaffold tower and ranks of helmeted figures. The steel arm of a mechanical earthmover swings against the supports of the tower and as it shakes someone in the cradle at its peak draws a bow and fires an arrow at their attackers.
This study examined the relationship between music preferences (MP), listening styles (LS), funct... more This study examined the relationship between music preferences (MP), listening styles (LS), functions of music (FoM), perceived rasa (music), and personality traits (PT -Big Five Factors). A sample of 77 young adults (M = 39; F = 38; M = 22.7 years) completed measures of the above constructs and data were analysed via correlations, one-way ANOVA, post hoc tests, and T-tests.
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