My Survey Results

Unfortunately I missed the third lecture due to unforeseen circumstances, and therefore had to join a group during the week between 3 and 4.

I joined the group which have based their project around the politics of leisure, more specifically the impact of leisure and self-expression via musical sub-cultures.

Musical subcultures are outlets are various types of music in which people join, partake or embrace to enjoy themselves, feel a part of something, escape and express. Each is it's own unique niche. It holds people together through the boundaries of their love for each sub-culture. It allows people to feel an identity in unison with others of the same. A connection with others of the same taste.

We planned to experiment upon this. Amongst others, our strongest idea was to attend various events of music, each independent of each other, each within a specific sub-culture. We would then partake in some form of intervention to acknowledge what the reaction we come from this. An example being going to an event juxtaposed from the cliche of the subculture and recording the difference in peoples behaviour as we disrupt their evening and inclusiveness of a certain type of person.

Ultimately, owing to time restraints, we decided to conduct a survey following a listen to snippets of five different songs from completely different genres of notable sub-culture's. This would give us an idea of the connotations that come with the subculture's music. The research allows us to understand how multiple people recognise these sub-cultures; people of everyday life and their knowledge of sub-cultures and their connotations, as reminded by through a song.

A member of the group, Jyoti, undertook the responsibility of moulding 20 second segments of 5 different songs. They are:

1. Dizzy Rascal - Stop Dat (Grime)
2. Fugazi - Waiting Room (Punk)
3. Sensored - Kai Urig (Techno)
4. Twinkle Brothers - Unemployment (Reggae)
5. Wanna - Tannhäuser Overture (Classical)


I asked 5 people to listen to the track created and then relay three things about each song. The results are as follows.


Person 1 (21):
- Song 1: London, black youth, aggression
- Song 2: Soft-metal, encompassing, meaning
- Song 3: Underground, shady, anxious
- Song 4: Cannabis, peaceful rebellion, emancipation
- Song 5: Power, suspense, intensity


Person 2 (21):
- Song 1: Gravel, smash, Crack-cocaine
- Song 2: Stroll, punch, unite
- Song 3: Bouncy, pump, sweat
- Song 4: Stoned, relaxed, cooking up an insane breakfast
- Song 5: Walking around a library, pointy moustache, rapid eyebrow movement


Person 3 (19):
- Song 1: Rudeboy, black, dirty bass
- Song 2: post-hardcore, punk, reckless
- Song 3: MDMA, rave, early morning at a festival
- Song 4: Stoned, floating, slow sex
- Song 5: Ballet, dramatic, intensity

Person 4 (20):
- Song 1: Dirty, Low-down, fat bass
- Song 2: straight rhythm, unity, punching
- Song 3: falling/rising, deep, spinning vision
- Song 4: Jangly, heart-lifting, body-popping
- Song 5: Tensions, release/realisation, standing tall (proud)


Person 5 (21):
- Song 1: Aggression, Underground, Grime
- Song 2: Depression, Uprising, Protest
- Song 3: Trance, Supernatural, Manufactured
- Song 4: Peace, Affection, Reminiscent
- Song 5: Nostalgia, Excitement, Adventure