Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification, Slippage, Failure and Discovery   This text argues for the potential of machine learning infused classification
systems as vectors for a technically-engaged and constructive technology
critique. The text describes this potential with several experiments in image
data creation and neural network based classification. The text considers
varying aspects of slippage in classification and considers the potential for
discovery - as opposed to disaster - stemming from machine learning systems
when they fail to perform as anticipated.

2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph