Skip to main content
Get your Wikispaces Classroom now:
the easiest way to manage your class.
Pages and Files
The Resonance Project ...
Process Page about the Project
Questions about resonance
bout resonant knowledge
Content Pages of the Project
Taxonomies of Knowledge/s
The New Addictions
The Resonant Knowledge Field
General Wiki Posts ...
The new 'artesan' culture
Speaking of Fructose
Speaking of Openness
Speaking of intrinsic learning
Order and fundamentalism
Low knowledge life-styles
Speaking of sugar
Like & not-like, cats ...
Silences of War
Water as text ...
Synaesthesia and Learning
Speaking of Agency (and presence)
Ecologies of Knowledge
Live MOOCs Talking (ii)
Speaking of Thresholds
Speaking of Sex Crimes
Reflection and Data
Speaking of Footprints
Speaking of Openness
Speaking of Taxes ...
Speaking of Jews ...
Bitcoins of Learning
MOOCs, Assessment, Fragile Zones
Zero Growth ?
A Probe is a probe ...
Meaning, consensus, language?
Space for new affordances
Genocide and genetics
Designing for Open Affordances
Open Sesame - understanding Open MOOCs
A Live MOOC talking
Active Learning MOOCs?
Learning or Training
A story of a boy
Popes and Chairs
Next Learning Architectures
Hybrid Flipped Spaces
Knowledge Ecologies .2
Ecologies of Identity
Lines of Desire
Social software (not!)
Footprints of Emergence
Designing Emergent Curricula
Emergent granny cloud +
MOOC is as MOOC does
Complex 3D Footprints
A JAM of Tweets
Seductive Social Software
Hats versus Vampires
From online- to e-journals
Paradoxes of Virtual Choirs
Benchmarking and Mastery
Berlin as Palimpsest
Emergent and Instrumental Learning
CoP and Small Planets
Perfomative or Analytic?
Schulmeisters and hegemony
Integrity and Utilities
The Soft Machine
Designing for Complexity
Top Brain - Bottom Brain
Instrumental and Ontological Reflection
Medium is the Massage
Narrative and Complexity
Conferences and Publications and Events
SCoPE Webinar Series on Emergence: Nov. 2013
Eifel ePortfolio Conference, July 2009.
HEA, July 2009
Greenwich, July 2008
Affordances and Political Ecology
Discourse and Text
Dis - embedded
Affrodances depend on the ecology, and the ecology evolves and changes - by definition. Here are some thoughts on how that happens, in a "dialectic loop" the progresses through various discjunctures, ending up in a "Web2 Network of communities of pratice" which is pretty similar to the place it started, certainly for early H. Sapiens - i.e. the embedding/ disembedding loops back, dialectically, to the next version of what it was before, from the earliest "web" of human society and culture to the recent "web2" of the global internet society. .......
(macro-network 'course') riased interesting questions about the nature of knowledge and where it 'resides', and came to the conclusion that its all in the network - the 'between parts', i.e. in and amongst all the nodes (human, machine, inert, etc). I was trying to map out the big picture (as one does) of where all the bits and pieces are situated, and whether, as I suspected, there are radically different KINDS of domains in which knowledge is situated, captured, networked, etc.
The big picture came out like this ....
and the commentary came out like this ...
The Genealogy of Creating and Embedding Knowledge in CANs (Complex Adaptive Networks) and VANs (Virtual Adaptive Networks).
Knowledge: in broad terms, can be defined as the
capacity for effective action
This includes a wide range of subcategories: strategic alliances; contextual knowledge; procedural knowledge; ante-formal knowledge (in social networks – online and offline, this is knowledge that has not [yet] been formalised), as well as the ability to find, access, contribute to, and use knowledge and make virtual alliances, (aka connectivist or virtual adaptive network knowledge).
This also includes, by definition, the ability to access information as required.
Knowledge Embedded in Humans
Knowledge is embedded in humans in a range of forms, and at a range of levels.
This includes consciousness, (cerebral); tacit, subconscious, reflex ‘knowledge’ and even instinctual ‘knowledge’ at lower brain (‘cerebellar’) level; and skeleton-muscular ‘knowledge’ at subcranial levels.
It is probably useful to restrict ‘knowledge’ to
capacities (so no instincts or reflexes), but
capacity for effective action
, (as opposed to information) depends on your facility at many levels in the body, so drawing a dividing line somewhere up the spine, or at the base of the skull is going to be difficult if not impossible. The body is a network, not an assemblage of discrete and discontinuous parts.
Those aspects of our ‘capacity’ that are based on information at cellular level are easier to deal with, as although they are
within the evolution of the species (phylogenetically) it still seems to be very clear that they are not acquired at an individual (ontogenetic) level.
Interesting though, DNA is the most basic
– the earliest radical,
of material (the four proteins of DNA) from their function
, or switches – early micro-projections of power and capacity.
Genes contain knowledge in the (metaphorical) sense that basic information is embedded in them which enables effective action.
And it’s not static; it changes and adapts between generations, so in a critical evolutionary sense it’s re-programmable.
We still need to deal with knowledge which is
at a social level.
The question is, how do make the leap to networks that are connected, but not physically contiguous, and certainly not physically continuous?
And the answer is: semiotics, including a range of zoo-semiotics, which we will not deal with here.
So, the next radical disjuncture, or dis-embedding is the digital coding of sounds into
(the basic sound elements of speech: vowels and consonants), which are combined into the basic elements of language
, like ‘ma’, to which we ascribe meaning within the social use of words.
This is based on the arbitrary-and-conventional nature of this linguistic ‘double articulation’.
To carry the metaphor of embeddedness forward– in networks, machines, and networks of machines (and we will need to shift to
somewhere along the line, as the machine metaphor gets a bit clunky):
The basic elements of language (words) are articulated into what for this exercise can be called ‘semiotic machines’, from indicative sentences to predicative sentences to more complex propositions to syllogisms to theorems to algorithms to texts and programmes to networks of programmes and so on.
There is another radical disjuncture, which is the disjuncture of ‘formalised’ knowledge, or ‘commodified’ knowledge, or ‘meta-semiotic’ knowledge.
The terms are interchangeable. The point is that
is generated by stripping out the subject and context from semiotics, for the specific purpose of creating ‘tradable’ semiotic machines – which are, simply, semiotic algorithms that can in principle be transferred anywhere, and used by anyone, anywhere.
Positivist science, money, bureaucratic procedures, votes and ‘representatives’ in representative democracy (which might just be a subset of bureaucratic procedures), media texts, and, in line with networks / connectivism, the internet itself: the first
these are all examples of formalised knowledge in this sense
Knowledge Embedded in Machines
This emerges alongside semiotics, and its development is inseparable from developments in semiotics.
Crafts, highly dependent on skills and energy embedded within, and sourced within, humans;
Industrial powered machines, where the skills / knowledge becomes disembedded and re-embedded in the machine, and the power is ‘outsourced’;
Factories which are systems of machines; programmed, re-programmable and smart machines and networks of machines, or networks of machines, programmes and networks themselves, in a network of nodes, which starts to resonate, conceptually, with the networks of nodes in humans, although there are still substantial differences in kind.
JIT manufacturing, retailing, and a range of e-commerce activities, such as mortgage derivatives (!) in the global networked economy.
Re-embedded in Networks
Global networks, and global micro-networks (networks like the Connectivism course which are micro in size, but macro in reach) are where the human/ inanimate network in connectivism and in ANT comes into its own.
What we have now is an (extraordinary) Web 2 iteration (Virtual Adaptive Networks, or VANs) of the CoP (or Complex Adaptive Networks – CANs)
that humans and other primates have inhabited in the global ecology for some time.
help on how to format text
Turn off "Getting Started"