The Poetics of Thought

The Data Information Knowledge Wisdom Hierarchy

Posted in Uncategorized by Fred McVittie on December 15, 2009


Where is the Life we have lost in living?

Where is the wisdom we have lost in knowledge?

Where is the knowledge we have lost in information?

(Eliot, 1934)

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The ‘Data Information Knowledge Wisdom Hierarchy’ is an epistemological system usually associated with Russell Ackoff (Ackoff, 1989)  although elements of it are prefigured in the work of Milan Zeleny (1987), and in more poetic form in T.S. Eliot (above) and in the lyrics of a song by Frank Zappa[1].

To introduce this model, a brief description of what is meant by the ‘Data Information Knowledge Wisdom Hierarchy’ is in order. As indicated in the name, the model organises the range of epistemological phenomena into four categories, these are:

  • Data – this indicates the set of individual facts, figures, sensory impressions, etc.  Data is regarded as essentially meaningless, although it is the raw material from which meaning is derived.
  • Information – is regarded as data which has undergone some kind of organisation.  Data sets may be divided into categories according to some criteria; individual data items may be linked together according to some salient feature.
  • Knowledge – this is, essentially, information which has been internalised by the person such that they might put it to use. An important feature of knowledge is that, whereas information and data may reside in texts, objects, and events, knowledge acquisition, ownership, and transfer can only be effected by human agents.
  • Wisdom – this is seen as the possession of knowledge such that one is able not only to observe patterns of information within data and make intelligent connections between different patterns, but also to feel the principles which underlie the patterns themselves.  Wisdom allows one to see these various patterns in their contexts and to be able to remain independent of immersion in that context oneself.

What I want to argue is that this model draws on certain key metaphors.  These are partially spatial metaphors which, I will argue, map coherently onto those outlined in my previous analysis of ‘tacit’ and ‘explicit’ knowledge in the work of Michael Polanyi (and indeed to the less formal ideas of ‘objective’ and ‘subjective’ knowledge).  In addition though, a close reading of the Data Information Knowledge Wisdom distinctions reveals a set of metaphors drawn not only from the properties of space but also to the properties of objects, specifically the substantial properties of hardness and softness, lightness and heaviness, liquidity, granularity, and evanescence.

Data

Data is understood primarily as a physical resource, and the metaphorical form of this resource has a number of properties which distinguish it from information and knowledge. Firstly it is conceptualised as a large number of individual, separate, atomistic, entities, like an aggregate of small stones, or a pile of leaves blown by the wind.  Items of data have an ontological irreducibility which prevents their being understood as composites themselves; just as when one is collecting pebbles from the beach one would not think to increase one’s collection by splitting each pebble in half, so individual datum cannot be divided.  Data is also understood as pre-existing any efforts to effect its collection; we conceive it as simply ‘out there’ waiting for some kind of exploratory practice to discover it.   Such entities might be ‘collected’, ‘mined’, ‘gathered’, or ‘stored’; on the other hand, because items of data are unconnected to every other item, they might also easily be lost, fall away from one another, disaggregate, or slip through the cracks.


[1] The 1979 song ‘Packard’s Goose’ by Frank Zappa, on the Album ‘Joe’s Garage Act II and III contains the lines: Information is not knowledge/Knowledge is not wisdom/Wisdom is not truth/Truth is not beauty/Beauty is not love/Love is not music/and Music is THE BEST.(Tower Records, 1979).

http://www.youtube.com/watch?v=m2cORmA4MD8


ACKOFF, R. L. (1989) From Data to Wisdom. Journal of Applied Systems Analysis, 16, 3-9.

ELIOT, T. S. (1934) The Rock, Faber & Faber.

ZELENY, M. (1987) Management Support Systems: Towards Integrated Knowledge Management. Human Systems Management, 7, 59-70.

Tacit Space

Posted in Uncategorized by Fred McVittie on December 3, 2009

The other term in Polanyi’s apparent binary is, as already noted, ‘tacit’, and is familiar from its derivative, ‘taciturn’.  (‘Apparent’ because they are neither complementary not opposite, as Polanyi himself indicates they are terms which describe the structure of a ‘dimension’, not separate and isolated alternatives ). Both words have in common their origins in silence, and in that which is passed over in silence.  The difference that makes a difference is that, whilst taciturn suggests a reluctance or unwillingness to speak, tacit does not offer even the possibility.  .  Paralleling the physical principle of ‘subsidiary awareness’ outlined above, to be tacit is to be constitutive of expressibility but to take no part in that expression.  Though it has position within the body of the speaker, that position is disposition.   In contrast to explicit knowledge which folds out in the direction of a metaphorically external, distant object, tacit knowledge stays close to home and the condition of the subject.  In the spectrum of knowing and being, tacit knowledge blends into being.

The overall image that Polanyi provides is one in which an understanding of knowledge and knowing  maps onto our experience of being the being at the centre of phenomenal space and makes consistent use of metaphors of space as well as the different sensory modalities which function at different spatial removes.  That which is tacit and which is close to us, or which is interior to us, does not extend into space and cannot be visualized and objectified.  If it is sensed at all this sense is felt rather than observed, a sensorial engagement appropriate to its proximal intimacy.  That knowledge which is tacit is held in the necessary silence of our being.  As knowledge becomes explicit it coalesces into another being beyond the limits of our skin and the limits of our arms.  Performing its primal act, knowledge rolls out toward the horizon, leading our eyes to the object created by that unfolding.

http://www.youtube.com/watch?v=jzcm3etAuQg

The Tacit Dimension

Posted in Uncategorized by Fred McVittie on November 16, 2009

Leanard and Sensiper, writing on the role of ‘tacit knowledge’ in group innovation make the following claim:

Knowledge exists on a spectrum.  At one extreme, it is almost completely tacit, that is semiconscious and unconscious knowledge held in people’s heads and bodies.  At the other end of the spectrum, knowledge is almost completely explicit or codified, structured and accessible to people other than the individuals originating it.  Most knowledge of course exists between the extremes.  Explicit elements are objective, rational and created in the ‘then and there’, while the tacit elements are subjective experiential and created in the ‘here and now’. (1998: 113)

These terms, ‘tacit’ and ‘explicit’ come from the writings of Michael Polanyi and signify types of knowing which it may be informative to relate to the overall schema informing this essay.  In Polanyi’s terms, explicit knowledge is simply that which can be communicated in symbolic form and has some overlap with ‘propositional’ or ‘declarative’ knowledge.  Explicit knowledge is typically ‘know that’ in character and corresponds with that which can be written, spoken, represented diagrammatically, or articulated in the form of instructions, rules, laws, and heuristics.  Explicit knowledge, in metaphorical terms, approaches the condition of the object in that it can be fixed, outlined, and rendered permanent through its encoding into language or other form.

The concept of tacit knowledge has been extended by writers since Polanyi such that it is sometimes taken to include almost any form of knowledge which is simply not expressed, (Leonard and Sensiper, 1998, Koskinen and Vanharanta, 2002).  Polanyi’s original understanding of the term was more precise however.  Polanyi saw tacit knowledge as providing the fundamental components from which other, more explicit forms of knowing might proceed, and as underpinning the most apparently autonomous, conscious, and explicit, see Tsoukas (1996).  Tacit knowledge may include the linguistic and cultural contextual information which is necessary for an article of knowledge to be understood, or in a more physically embodied sense, it might consist of those elements of perception which are unavailable to consciousness but nevertheless contribute to conscious observation.  In the essay ‘The Structure of Consciousness’ in Knowing and Being, (1969)  Polanyi gives the example of our ability to see the world in three dimensions.  This ability is the result of our having two eyes, set a few inches apart, each capturing a slightly different version of the visual field.  These two images, combined with the extra information provided by the differences between them, are processed by the visual system in the brain to produce the final image which is presented to consciousness; an image containing the dimension of ‘depth’ that was not present in either of the originating images.  What is significant here is that the images presented separately to the left and right eyes are not available to us consciously, and in fact we would have no way of bringing these images to consciousness (apart from closing one eye of course, which simultaneously dismisses this kind of depth perception).  The three dimensional image, which Polanyi referred to as constituting our ‘focal awareness’ cannot be decomposed back into its constituent ‘subsidiary’ elements.   Whilst the observable scene is explicit and can be spoken of descriptively, the subsidiary materials from which it emerges are necessarily tacit and, whilst obviously ‘known’, inasmuch as they figure in the process of cognition and composition, necessarily remain in silence.   As Polanyi observed in The Tacit Dimension, ‘we can know more than we can tell’, (Polanyi, 1983: 4).

It is significant that, for Polanyi, the processes through which tacit knowledge is composed and utilized do not necessarily ever become available as explicit knowledge.  Rather, such accumulations of subsidiary sensation and experience give rise to the play of hunches, guesses, intuitive leaps, and gut responses which he referred to as ‘passions’.   Tacit knowledge is not sterile and distant, but is rather threaded throughout with emotion and responses close to the heart of the person.  It is this understanding which underpins and gives the name to Polanyi’s best known work, ‘Personal Knowledge’ (Polanyi, 1958).

Other Knowledge Binaries

Like the distinction that Polanyi makes between tacit and explicit knowledge, many taxonomies of knowledge rely on an apparent binary division which separates what are seen as two prototypically different forms of knowing.  A list of such pairings, particularly as they are applied to mathematics, is provided by Haapsalo and Kadijevic

• conceptual vs. practical knowledge

• manifest (structural) vs. instrumental content

• knowing that – knowing how

• declarative vs. procedural knowledge

• facts/propositional vs. skills/procedural knowledge

• hierarchies of cognitive units – condition-action rules

• relational representations – condition-action rules

• understanding – algorithmic performance

• conceptual competence – procedural competence

• rich vs. poor in relationships/algorithms

• theological vs. schematic knowledge

• deductive vs. empirical knowledge

• meaningful vs. mechanical knowledge

• logical/relational vs. instrumental understanding

• connected networks – sequences of actions

• connections between conceptions – computational skills

• words specifying concept – mental images/processes

• definitions/connections – rules/connotations

• proceptual vs. procedural thinking

• structural vs. operational thinking

(2000: 141)

http://www.youtube.com/watch?v=zSKzBtpqiUo

 


HAAPASALO, L. & KADIJEVICH, D. (2000) Two Types of Mathematical Knowledge and Their Relation. Journal für Mathematik-Didaktik, 21, 139-157.

 

KOSKINEN, K. U. & VANHARANTA, H. (2002) The role of tacit knowledge in innovation processes of small technology companies. International Journal of Production Economics, 80, 57-64.

LEONARD, D. & SENSIPER, S. (1998) The role of tacit knowledge in group innovation. California Management Review, 40, 112-132.

POLANYI, M. (1958) Personal knowledge: towards a post-critical philosophy, Chicago, University of Chicago Press.

POLANYI, M. (1969) Knowing and Being, Chicago, University of Chicago Press.

POLANYI, M. (1983) The tacit dimension, Gloucester, Mass., Peter Smith 1983.

TSOUKAS, H. (1996) The Firm as a Distributed Knowledge System: A Constructionist Approach. Strategic Management Journal, 17, 11-25.