[...]lace-with--> a “universal of local application” (~= residuum)

(we rely on) [*]words: value-laden components of language that also serve as categories and moor لنگر us in the symbolic, to effect the transformations of the collections

labels ~-/==> power and oppression epistemologies <== *organizing logics* (that remain invisible when when we change the words or subsitute new sets of categories)--> that is why i am reluctant with only changing the metadata @Pierre: using metadata to manipulate the organizing apparatus ==> versions of residuality (?)

...................................

[working on apass milieu data model, summer2018]

c.r.i. (“collective research interface”)
--?--> a pathological collage

discrete object (of problem [who, when, how,]) interface
--> refering to something outside c.r.i. (outside the digital model)

face (slider) --> object monster

(?what is lost at) linking the symbolic space of data-model to the qualities of the researches of participants [which are relational, procedural, and emotional]

s.s.s. (scroller, slider, still-life)

discourse =/= valorizing information

Pierre's fables:
•“nonviolent way”
•“not by chance ...”

*Apologue*

research --> data flow
sieve --> nodes in/of residual


internal categories:
•stickiness
•zoom
•cheat
•persistence
•repetition
•(vulgar)
•
}==> topology:
1. ramp
2. nest
3. skew

ramp: sequential, one dimensional, ‘sliders’
nest: fractal quality, JSON, hierarchical tree, ‘comments’
skew: verb act, streching, ‘2D field picker’

(slider: marking everything)

semantic in flux + persistence
object repository + identifiers


feedback --> quasi object --> structured knower --> data


#workshop in apass 2018 Summer
...a series of data models that was produced during a three days work session in a.pass May 2018.
The aim was to create a “filter" for the artistic research projects of each participants, in order to train in making meta-linguistic abstractions (on a given computer hardware) to construct a “thing” that enables describing the problem of Building Abstractions with Data, to increase/enhance the expressive/descriptive power of the languages we use. It addresses the question of machine/human readability in the digital imperative of computational world we are inhabiting, with the particular case of a.pass artistic research environments for advanced performance studies.
•interested in computational literacy (including data-collection, librarianship) as part of our *diversity-work* and our *articulation-work*
•interested in different languages (english, computer, non-sign languages, etc.) refers to different value systems and to different lived experience
•interested in the *labor of knowledge-work* (in collective digital flesh life)
•interested in shifts in topology (the ongoing reworking of bodily boundaries of each of our research practices)
•


TERMINOLOGY:

*articulation-work: the labor necessary to make technologies fit together seamlessly

*diversity-work: a kind of work in which we learn about the damage we cause, and of how “causes” are understood as “damage”

*librarianship: a work that hooks up people with their technologies

*data abstraction: a *technique of isolating* (the parts of your mini-language that deal with) how data/info objects are ‘represented’ from (the parts of your mini-language that deal with) how data/info objects are ‘used’ (---> i addressed this in my fable workshop in a totally different epistemology)

*model: your object decomposed into *computational compound objects* (each with their own time-varying local state variables)

(representation of data and control over data:)
*modular: localized part of the system that are produced by the perception of the system
*objective: viewing a large system as a collection of distinct objects. concerned with how a computational object can change and yet maintain its identity
*streamous: information that flow in the system. its evaluation is delayed. infinite list

*metadata: machine-readable persistence statements

*digital interface: discrete object of your “research problem” that refers to something outside the cri (outside the digital model)

*topology: a (proposed) body-plan to investigate questions of *connectivity* and *boundaries*, in order to find out what remains invariant as a result of transformation. this will direct us to propose (well-intended but not tested) *transversal objects*.
to be able to propose: in the culture of each pad+participant+research what connects and joins, what delinks and disconnects.


PRACTICAL:

we want to find out how cri's “filter” translates its politics into metadata
and
what happens in linking the symbolic space of data-model to the (relational, procedural, emotional) qualities of the researches of participants

we will work on the block's opening week feedbacks and process them in this diagram:
feedback --> quasi object --> structured knower --> data
(or technically:)
semantic in flux --> persistence statements --> object repository --> identifiers

(Tuesday, Wednesday, and Thursday are spent on the creation of “quasi objects”)

i propose some (well-intended but not tested) internal categories:
•stickiness
•zoom
•cheat
•persistence
•repetition
•vulgar

(i will describe them later)

and these categories produce three topologies:
1. ramp
2. nest
3. skew

(this is a maneuver to replace the question of ‘strategy’ to ‘topology’, the first act of making quasi-objects)

ramp: sequential, one dimensional, ‘sliders’
nest: fractal, serializable, arborescent, ‘comments’
skew: verb-active, streching, ‘2D field color picker pointer’

each is “queryable” in different ways and propose different difficulties
each of them addapted from an existing technologies (range sliders, commenting, color pickers)
each embeds one of: colors, doings, values

slider: marking everything with decimals
comments: hypertextualizing
field picker: spreading
}--> they are all milieu-makers

ramp --> arc of necessity
nest --> mosaic divisions
skew --> chromatic/luminous effect (of mixture)


and also:
•to address (in a longer term) how apass performs analysis and prioritization of its own service definition?
•to address (in a longer term) historical/cultural specificities of apass
•to address aspects of apass's exceptionalism (its characters, colors, doings, values)



REPORT:

Geert
zoom / biger picture
perform a zoom
Geert and Michael knowledge zoom-level
Geert's strech-work
which cheats
vulgar: direct, =/= suffisticated, =/= nice(in a classical sense), =/= institutional code [--> a cheat], everyday, good taste, context?!!
suggested topology: skew --changed--> nest (tow branches answering yes and no to: “is he cheating?”)

Leo
stickiness ~ residual (left overs of impression), we couldn't find little objects, litte stickies
zoom is tooooo wide, megacategories, “fermentation” is a different zoom level
cheat --> perception/intention, value of non-doing ?, ‘order is cheat’, ritual ==> heal/cope
vulgar: ritual of popular knowledge, =/= social acceptence, communicating emotional needs, guilt on behalf of the vulgars,
suggested topology: skew (with 4 axioms: negativity, positivity, passivity, ritual)

Caterina
sticky: difiicult to remove categories, dirty, quality of trape, almost negative, like honey as an intermediary sticky for other objects to become sticky
zoom: Latina candition macro, ass rincles micro, herself, change of lens is what matters not the zoom level, the macro of the term culture itself
cheat: against the rule of community/aggreement, always cheating the system, against the game, bad relation to the game, lazy relation, faking?
vulgar: ordinary, insultive, perjurative, of the “people”, (Geert:) a marking always coming from above, what television does: non-actual + spectacle, ([...]