Aegis-IBM Data Science, Big Data, Analytics, AI, ML, DL (Bombaj, Indie)
Top PDF DataSHIELD : taking the analysis to the data, not the data to the analysis
The issue of ‘social class’ and how they are defined, therefore, goes to the heart of Bourdieu philosophy and method. He is struggling not to substantiate ‘classes’ in a field in which its modus operandi include a struggle for philosophical and methodological saliency. ‘To name’ something is tantamount to an act of magic since, if accepted, it allows for one view to take precedence over another, itself a form of ‘symbolic violence’. Classificatory strategies mark an ambition to accept or modify a certain world view: Capitalist? Marxist? Bourdieusian? Therefore, we should beware of researchers who pass over the relational aspect of ‘classes on paper’, and be aware further of their virtual aspect. Yet, this is exactly what does happen, Bourdieu argues, in fields where certain agents (with their own objective interests) assign members to certain categories. These agents may exist in the political, media or academic fields. However, in each case, there is an issue of ‘legitimacy’ in the naming of others. This argument moves Bourdieu to a view of taking the actual process of ‘classes’ and ‘classification’ as an object of study: ‘one cannot establish a science of classifications without establishing a science of the struggle over classifications and without taking into account the positions occupied in this struggle for the power of knowledge’ (1991: 241). The point here is that Bourdieu is arguing that certain agents, or groups, have power over others in their assigning of class definitions. The power to do this is almost a ‘sacred’ act as it separates social groups – the elite and the masses - good and evil, distinguished and vulgar, and is therefore inherently political: ‘Analysis of the struggle of classifications brings to light the political ambition which haunts the gnoseological ambition to produce the correct classification’ (ibid: 243).This is understandable for the dominant, with an interest in preserving the status quo and the social space as it is commonly conceived. It is not acceptable for a ‘science’ aimed at discovering the reality of class. Ultimately, therefore, this discussion moves us towards methodological issues of practice - to avoid reifying class and to objectify the very ambition to objectify classes itself. I now want to address some methodological details before returning to issues of class as a political representation
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Aegis-IBM Data Science, Big Data, Analytics, AI, ML, DL (Bombaj, Indie)
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