Thanks for the kind works, everyone. 

autoserota is really just the baseline model of what I'd like to do with this 
dataset. 

As I mentioned in the blogpost, the most interesting categories, for me, are 
the more subjective ones, the categories which feel like they're furthest along 
the 'I need a human to make this judgement' axis. This dataset goes beyond 
simple 'fact based' descriptions, which means it contains a whole lot more 
humanity than most 'big data'.

We can imagine machines which spot the items within a representational work 
(look at Google Goggles, for example) but algorithms which spot the 'emotions 
and human qualities' of a work are more difficult to comprehend. These 
categories capture complex, uniquely human judgements which occupy a space 
which we hold outside of simple visual perception. In fact I think I'd find a 
machine which could accurately classify an artwork in this way a little 
sinister...

The relationships between these categories and the works are metaphorical in 
nature, allusions to whole classes of human experience that cannot be derived 
from simply 'looking at' the artwork. The exciting part of the Tate data is 
really the 'humanity' it contains, something absolutely essential when we're 
talking about art - after all, culture cannot exist without culturally informed 
entities experiencing it.

This data is represented in JSON, it's been expressed in a machine-readable 
form explicitly for algorithmic manipulation. It gives us a fascinating 
opportunity to investigate how machines can navigate a cultural space, 
precisely because it's been imbued with 'cultural knowledge' by the 
hard-working taggers of The Tate.



On 9 Nov 2013, at 23:30, Rob Myers wrote:

> On 09/11/13 03:07 PM, Bjørn Magnhildøen wrote:
>> "can you see the $x and the $y?"
> 
> Yes it's very simple but the effect of framing it as a question makes it
> very effective IMO. :-)
> 
>> i'd like to do something with the categories themselves, interesting
>> how the concepts surrounds and defines the works
>> thinking of an descriptive art from it
>> or instructive art
>> then mutated art maybe
>> algorithmic selection
>> "as stated", dictated, mutated
> 
> Definitely. Once we know how existing objects are described we can
> describe objects that don't yet exist. :-)
> 
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