Prof Christina Boswell School of Social and Political Science University of Edinburgh Governing by Numbers: The Role of Quantification and Targets in UK.

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Presentation transcript:

Prof Christina Boswell School of Social and Political Science University of Edinburgh Governing by Numbers: The Role of Quantification and Targets in UK Debates on Immigration and Asylum

Context New Centre for Science, Knowledge and Policy (June 2014) ESRC project on The Politics of Monitoring ( )

Background: Targets in UK Government Use of quantified performance indicators and targets, 1980s onwards Labour Government: Public Service Agreements, 1998 Asylum targets: Removals (2000) Processing (2000) Applications (2003) Backlog/legacy (2006) Immigration target: Net migration (2010)

Targets: Force for Good or Evil? Good: Transparency, holding to account Galvanising improvements Bad: Distortion and gaming Compressing complexity – ‘black-boxing’ Reification and legitimation through quants

Asylum

Daily Mail headlines, ‘ASYLUM-SEEKERS POUR IN FROM BRUSSELS’ ‘OPEN DOOR FOR BOGUS REFUGEES’ ‘ALARM AS REFUGEES KEEP ON FLOODING IN’ ‘MECCA FOR BOGUS ASYLUM SEEKERS’ ‘CRISIS FOR OPEN DOOR BRITAIN ‘ ‘REFUGEES TIDE IS HEADING FOR A NEW HIGH’ ‘STRAW'S TURMOIL AS NUMBER OF ASYLUM SEEKERS ROCKETS’

Extract, 2000 Public Service Agreement

'I would like to see us reduce it [asylum applications] by 30 or 40 per cent in the next few months and I think by September we should have it halved’ (Tony Blair, Newsnight, 7 Feb 2003)

Impact on Political Debate Technocratisation Simplification: single category, directional goal Binary construction Narrowing down of debate Spillover of quantification to other areas

Migration

‘We would like to see net immigration in the tens of thousands rather than the hundreds of thousands’ (David Cameron, Andrew Marr Show, 10 January 2010)

Impact on Political Debate (#2) Technocratisation Simplification: single category, directional goal Binary construction Narrowing down of debate

Targets & Moral Deliberation

Impact on Moral Deliberation Quantification as ‘flattening’/equalising? BUT: Defining the scope of justice/equal treatment Codifying hierarchy of entitlements

Conclusion Impact of quantification: Compression, simplification Technocratisation, binary coding Especially dangerous where moral values are contested: Codifies hierarchy of entitlement Abstracts from rich description vital for extending duties

Thank