surveillance T13 Flashcards
examples of surveillance today
CCTv, automated number plate recognition, databases
Fouclalt
- view to rehabilitate
- experts play key role in applying specialist skills to correct behaviour
- disciplinary power replaced sovereign power as surveillance is more effective
panopticon prison
guards can see all prisoners, but not other way round = behave as though being watched all the time= surveillance becomes self-surveillance, discipline becomes self discipline = reduces crime
disciplinary power
19th century onwards - discipline governs body & mind through surveillance
Foucalt - dispersal of discipline
since 19th century institutions have subjected individuals to disciplinary power to induce conformity & self-surveillance (factories, workhouses, schools) = led to prison islands or non-prison based social control practices where institutions exercise surveillance over population
evaluation of Foucalt
Gill & LOveday - few burglars/robbers put off by CCTV although it is a form of panopticism
Mathiesen
increase in surveillance from below - everybody watches everybody
Thompson
politicians fear media surveillance as may uncover damaging information, acts as form of social control
public monitoring each other
dash cams, ring doorbells, social media = results in self-surveillance
evaluation of synoptic surveillance
McCahill - bottom up scrutiny can’t reverse established ‘hierarchies of surveillance’ - police can confiscate cameras under anti-terrorism laws
Haggerty & Ericson - surveillance assemblages
- surveillance ow involves virtual objects combining not physical bodies in physical space. creates virtual copies of people e.g. CCTV uses facial recognition (data double)
consumer tracking
- google, Facebook, amazon collect info about lives & choices & controls who sees
- tesco clubcard collects info and can profile lifestyle
Feely & Simon
actuarial justice & risk management is a damage limitation strategy using tech and statistical analysis
actuarial justice & risk management
- classifies people based on groups to predict likelihood of offending by statistically calculating risks & ‘dangerousness’ e.g insurance calculate likelihood of accidents
- e.g. airport stops based on age, gender, ethnicity etc
- means new ‘technology of power’ emerging
evaluation of actuarial justice & risk management
- labelling & SFP
- Norris & Armstrong = ‘massively disproportionate targeting’