Introduction
I propose the following hierarchy: data — information — knowledge. Where items in one category are refined and filtered in the process of going to the next.
Short Quotes
Information is not knowledge. Knowledge is not wisdom. Wisdom is not truth. Truth is not beauty. Beauty is not love. Love is not music. Music is the best.
Source: Frank Zappa, Album: Joe’s Garage, Track: Packard Goose
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Where is the wisdom we have lost in knowledge?
Where is the knowledge we have in information?
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This essay has been on appreciative theorizing. It is my conviction that it is important to get appreciative theory reasonably well worked out, before one gets in the business of building formal theory. Otherwise there are few restraints preventing formal modelling from going amuck, and little that pulls the enterprise towards being about real phenomena. On the other hand, given the existence of a reasonable well worked out appreciative theory, formal theorizing can be a very helpful part of the intellectual enterprise.
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There is centrally, the problem that the informality of appreciative theorizing makes it difficult to check out the logical completeness and correctness of the 'causal' arguments in that theory. The exercise and discipline of formalizing the arguments can reveal a lot about what is incomplete or problematic in the appreciative causal story. As someone who has played this game a number of times, I can attest that much is learned even before a formal model is fully developed and capable of serving as an analytic engine .....</p>
Unsatisfactory Nature of Traditional Growth Modelling
There is a large intellectual discrepancy between most of the formal growth models economists have devised, and descriptions of growth that take the form of economic history. Contemporary formal growth theories treat economic growth as almost all ‘quantitative’. They aim to explain why various magnitudes, like per capita income, the real wage rate, and capital intensity, rise over time. Other magnitudes like the savings rate, or the share of labor in national income, or the rate of return on capital, tend to stay constant in these models, either because they are assumed to be constants, or because of various mechanisms built into the models. In any case, in economic growth as it is thus depicted, nothing much happens qualitatively. On the other hand, in the historical accounts, lots of qualitative things are happening. New technologies are emerging, and so also are new forms of business organization, and new institutions. Put another way, development is moving forwards and not simply things getting bigger or smaller or staying the same size.
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