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3. Click the "start mashup" function: at this point, the function will find the common words and use them as the fixed text for the new piece of text. Then, it will put the results together into a new piece, randomly choosing the differences in the two texts.
3. Click the "start mashup" function: at this point, the function will find the common words and use them as the fixed text for the new piece of text. Then, it will put the results together into a new piece, randomly choosing the differences in the two texts.
4. The result will show a different piece of writing made out of the two texts mashed up. Reload the page to create a new version. You can find the results saved in the Archive automatically.
4. The result will show a different piece of writing made out of the two texts mashed up. Reload the page to create a new version. You can find the results saved in the Archive automatically.
=result of workshop on 7th june=
"Diffracted narration" interpreted by Chae and Emma [https://hub.xpub.nl/soupboat/~chae/SI18/John-Cage_song-book-and-Wendy-Chun.mp4]

Revision as of 14:03, 7 June 2022

diffractive methods by supi and emm

identity card

TO DO

- read/listen: Melanie Feinberg (2014), A Story Without End: Writing the Residual into Information Infrastructure Ursula Leguin (1985), She Unnames Them

- organize methods and upload to module in format: Title: Description: Nature of the input: Process Log: 1. 2.

1. METHODS DUMP

A.) OVERLAY

A1.) Printed version (on transparencies):

Literal diffraction through the physicality of two texts Visually similar texts placed on top of one another. Read two texts simultaneously and see what method/pattern emerges This way of putting two texts together puts the reader in a situation to approach the text in a different way. Obliged to read two texts as one

Ways of reading: a.) normally, mixing where the lines of the texts weave through one another b.) take the overlapped/clustered words and mix them c.)

Sample texts used: Text #1: Michael Murtaugh (2020), Eventual consistency https://diversions.constantvzw.org/wiki/index.php?title=Eventual_Consistency Text #2:

Title: Overlaid Impressions

   Description: Create a literal diffraction through the physicality of two printed texts
   Nature of the input: text
   Process Log:
       1. Pick two texts that are visually similar or visually interesting from your point of view
       2. Prepare two one-page-pdf to print on transparent paper (provided); size A4.
       3. if you want to decide the precise position of the overlapping of the two texts, insert them in a photoshop file and create two layers; change opacity; move them as you want; you need to horizontally flip JUST ONE of the two texts; then export them as separate files.
       4. Send the two files to the printer.
       5. Put the flipped print on the top of the non-flipped one; you can stick them together, put them on a window to see through; colour parte=s that you find interesting; react to your overlap texts: what can you see?
       
       

A2.) Audio version

play two audios/videos at the same time, record, transcribe

A2.1.) "Diffractive transcription"

A2.2.) "Diffractive listening"

A2.2.1.) (audio) Playing 2 clips simultaneously

deep listening one content from 1 ear, 1 from another come to conclusion that are a mix of what 2 is trying to say instead of 1

Title: Sonic Weaving Pt. 1: Clips

Description: Diffractive listening and transcribing exercise with two video or audio clips. Nature of the input: Two video or audio clips Process Log:

   1. Pick two video or audio clips. 
   2. Open a text editor and get ready to transcribe.
   3. Play both clips from the beginning at the same time.
   4. Pay close attention to what you hear and type out the words/phrases you pick up on.
   5. End this listening-typing session whenever the shorter clip ends.
   6. Use this text as a starting point for creating another output. For example, create a sound piece based on it. 
   
Title: Sonic Weaving Pt. 2: Texts

Description: Diffractive listening and transcribing exercise with two texts. Nature of the input: Text Process Log:

   1. Pick two texts.
   2. In a group of 3, distribute the following roles: reader (2), listener+transcriber (1).
   3. One reader reads aloud one text, while another reads another.
   4. At the same time, the listener+transcriber types out what they hear. 
   5. Continue until both readers stop reading.
   6. Use this text as a starting point for creating another output. For example, create a sound piece based on it. 


A2.2.2.) (text to speech) A circle/2 people simultaneously reading for a third person who needs to transcribe what they hear

resource: https://vimeo.com/40995502 > diffractive transcription made by humans instead of machines

Title: Surround Sound: Text to speech

Description: Diffractive transcription and listening exercise. Nature of the input: Text Process Log:

   1. Pick 

B.) MASHUP

theimpossibleprocess

Pick 2 texts that have:

   - similar lengths
   - common words

Title: Diffractive Mashup

Description: A method that uses the mashup() function to create random mashed up versions of two texts. Nature of the input: text Process Log: 1. Pick two texts that talks about similar topics, that have words in common and could interact in a meaningful way. Choose small chunks of text to work on and with the same or a similar lenght of lines. 2. Go to https://hub.xpub.nl/soupboat/theimpossibleprocess/themashupfunction and insert the texts in the boxes, paying attention to start a new paragraph per line [the function needs to recognise the text line by line and not the whole text all together] 3. Click the "start mashup" function: at this point, the function will find the common words and use them as the fixed text for the new piece of text. Then, it will put the results together into a new piece, randomly choosing the differences in the two texts. 4. The result will show a different piece of writing made out of the two texts mashed up. Reload the page to create a new version. You can find the results saved in the Archive automatically.

C.) CARD GAME

Using Brian Eno's Oblique Strategies as:

C1.) Card game format for re-categorization

using Melanie Feinberg (2014), A Story Without End: Writing the Residual into Information Infrastructure

Ursula Leguin (1985), She Unnames Them

C2.) Oblique Strategies prompts for "diffractive reading" as a lens to approach text

(the method is from the cards)

C3.) Oblique Strategies (DIY version) for "diffractive reading"

- instructional (ways to read) "go to page __ and read line __" read on alternating lines take a text and go to ___ - physically alter the paper: - fold - cut - blackout

with the brian eno cards, we could make new ones based on his but related to reading texts and approaching materials

Don't be afraid of things because they're easy to do

becomes

don't be afraid of the text because they're hard to understand

or something better lol

D.) Reading/eye-tracking pattern

OUTCOME

at the end of the workshop on Tuesday, we will collect all the texts that people will create with our methods and create a little booklet out of them.

3. READY TO UPLOAD

1. Title: Overlaid Impressions

   Description: Create a literal diffraction through the physicality of two printed texts
   Nature of the input: text
   Process Log:
       1. Pick two texts that are visually similar or visually interesting from your point of view
       2. Prepare two one-page-pdf to print on transparent paper (provided); size A4.
       3. if you want to decide the precise position of the overlapping of the two texts, open them in Photoshop and create two layers; change opacity; move them as you want; you need to horizontally flip JUST ONE of the two texts; then export them as separate files.
       4. Send the two files to the printer.
       5. Put the flipped print on the top of the non-flipped one; you can stick them together, put them on a window to see through; colour parts that you find interesting; react to your overlapped text: what can you see?
        

2.1. Title: Sonic Weaving Pt. 1: Clips

Description: Diffractive listening and transcribing exercise with two video/audio clips. Nature of the input: Audio/video Process Log:

   1. Pick two video or audio clips. 
   2. Open a text editor and get ready to transcribe.
   3. Play both clips from the beginning at the same time.
   4. Pay close attention to what you hear and type out the words/phrases you pick up on.
   5. Continue this listening-typing session until one of the selected clip ends.
   6. Use this text as a starting point to create another output (for example: sound or image translations of the text, a score for a performance, etc.)

2.2. Title: Sonic Weaving Pt. 2: Texts

Description: Diffractive listening and transcribing exercise with two texts. Nature of the input: Text Process Log:

   1. Pick two texts.
   2. In a group of 3, distribute the following roles: reader (2), listener+transcriber (1).
   3. Each reader picks one text to read aloud.
   4. At the same time, the listener+transcriber types out what they hear, or words/phrases that form or are filtered through. 
   5. Continue until both readers stop reading.
   6. Use this text as a starting point to create another output (for example: sound or image translations of the text, a score for a performance, etc.)

3. Title: Diffractive Mashup

Description: A method that uses the mashup() function to create random mashed up versions of two texts. Nature of the input: text Process Log: 1. Pick two texts that talk about similar topics, that have words in common and could interact in a meaningful way. Choose small chunks of text to work on and with the same or a similar length of lines. 2. Go to https://hub.xpub.nl/soupboat/theimpossibleprocess/themashupfunction and insert the texts in the boxes, paying attention to start a new paragraph per line [the function needs to recognise the text line by line and not the whole text all together] 3. Click the "start mashup" function: at this point, the function will find the common words and use them as the fixed text for the new piece of text. Then, it will put the results together into a new piece, randomly choosing the differences in the two texts. 4. The result will show a different piece of writing made out of the two texts mashed up. Reload the page to create a new version. You can find the results saved in the Archive automatically.

result of workshop on 7th june

"Diffracted narration" interpreted by Chae and Emma [1]