February 2018

the archivists hand is guided by various means of seeing, describing, recording, and recalling
these means shape the stories we write and read
the digital is not less or more valid than the paper record

like the moulds of the statuary archive...
digital representations act as shadow traces of reality
that require repetition and reperformance to persist

Each description implies an ordering...
Every ordering tells a story...
but even this sounds still too singular,
each ordering doesn't itself produce a single story
but rather enables multiple readings

ERRORS and glitches occuring in each ordering
highlight another capacity of each component of a databse description

Show the break in the middle
... Talk about the edges as place of interest.
IN statistical processing, outliers are typically removed from consideration to improve the quality of the model


http://diversions.constantvzw.org/

Saskia Transcript
http://diversions.constantvzw.org/etherdump/saskia_machine-transcript.raw.txt

The "maps" of orderings...
http://diversions.constantvzw.org/scrape/mim.name.html

http://diversions.constantvzw.org/scrape/


This spreadsheet is the result of a scrape:
http://diversions.constantvzw.org/scrape/mim.csv
has colums:
  1: collectionName
  2: inventoryNb
  3: objectName
  4: objectTitle
  5: objectCulture
  6: geography
  7: dating
  8: material
  9: technique
 10: dimensions
 11: legalRightOwner
 12: url
 13: imageurl
 14: image

Compare with the spreadsheet that was provided to us (export from Museum Plus)
csvstat --names Export\ mim.csv 

  1: N° d_inventaire
  2: Nom de l_objet
  3: Titre FR
  4: Titre NL
  5: Titre EN
  6: Classification
  7: Auteurs/Cultures
  8: Depuis
  9: À
 10: Période
 11: Dimensions
 12: Matériaux/Techniques
 13: Réf_ Géo_
 14: Image standard

Interesting orderings:
Based on the spreadsheet:
    Inventory number <!> ... what stories does this tell (cite INTERVIEWS!)
    Name of the object (alphabetic?) ... cite INTERVIEWS (the story of the wrong NAME)
    Depuis/A
    Dimensions

JPEG size
Contours (number of discrete shapes, (normalized) length of total contours)
Gradient (total magnitude)
Face detection
Textuality
RGB


WHAT if IMAGES / pixels are the starting unit of organisation

http://gitlab.constantvzw.org/SICV/diversions.poster/raw/master/snapshots/04.jpg