Etc Portal to Contamination

etc filter as an entry point to look into rejected space which can be a starting point

etc filter as an entry point/door to address/look into negative space/rejected space which can be a starting point, yet to be defined.

overview

In the beginning, Gersande's(G) interest in the rejection list was 'rejection as a starting point' and Chae(C):'rejection as a turning point-a trigger for an action/a change/a different direction'. Chae was stuck with the word, 'et cetera' because she was curious to look into what goes under this ambiguous et cetera(and others) boundary. As C and G were learning how to analyze, process txt files and categorize, structurize using programming for several weeks, ... (to be continued...)

week 7, 1st of November / Prototyping

During the class, Manetta and Michael introduced us to the concept of corpora and filter. C and G were in a group (cuz we were sitting next to each other(=´∀｀)人(´∀｀=)) and we started a discussion about our interest in regards to the topic of 'rejection'. G mentioned S--(will be filled in) who focuses on the racial bias in A.I. and the relation between colonialism and technology.(maybe not correct.. G, plz feel free to edit) C talked about her fascination with the 'other' category and et cetera.

etc filter
C and G's intention was:
1) make a et cetera & co filter
2) to give readers a context, not only print/return the target sentence(a sentence that contains etc.) but also print/return previous and next to the target sentence 3) ...(to be continued...)

here are some snippets from G and C's Jupyter notebook.

from nltk.corpus import Gutenberg
gutenberg.fileids()
print(body)
counter = 0 etcetera = ['et cetera', ' etc ', ' etc.', '...', '[...]', 'and-so-on', 'and-so-forth', 'and others', 'et al.', 'and all the rest', 'and on and on', 'along with others']

for sentence in body:

   for cet in etcetera:
       sentence_str = " ".join(sentence)
       sentence_punc = sentence_str.replace(" ,", ",").replace(" .", ".").replace(" ;", ";")
       
       if cet in sentence_punc:
           prev_sentence = body[counter - 1]
           target_sentence = sentence_punc
           nex_sentence = body[counter + 1]
           print(prev_sentence, target_sentence, nex_sentence)
           print('______')

G made a jupyter research log

week 8, 8th of November / Prototyping

Before class
before the prototyping class, G and C had a meeting about what they thought about et cetera. This meeting was a brainstorming session for both of us.

During class
G and C learned how to make input-etc etherpad and output-etc etherpad using API!! C IS SUPER EXCITED ABOUT THIS METHOD.

Input Etc
Output Etc

week 8, 9th of November / Class with Cristina

After having a check-in moment and group discussion with Cristina from 10:00 - 17:30(!!), G and C agreed on the following things:

1) filter etc & co
→ synonyms
→ gate to the negative space
in notebook/logbook (Jupyter-like layout),

2) Run the filter etc & co
→ use the filter to find negative space in content online(things that we wrote in etherpads, NLTK corpora, references gathered by XPUB1 and Cristina, Steve, Manetta, and Michael)

3) yet-to-be-named-publication
→ physical publication
→ annotations/updates can go back to the notebook
→ logbook as intro
→ the instructions
→ negative space waiting to be filled

4) And others(Mainly documentation)
→ track and tracing nomadic publication
→ C and G delivery service, pick-up
→ hand-to-hand
→ last reader/author chooses the next one

...back to number 1), full circle ⥀