The Language of Knowledge
Knowledge is always an associative process, we are limited in the amount of knowledge we can access at one time, and we need help in conceiving aspects of knowledge at once. That's why coding knowledge is very important in that quest for more understanding. Building the right knowledge depends on such coding in order to associate these aspects of knowledge we want to analyze in context.
And since the the Social Sciences are replete with stories related to each other in some ways and not specifically in standard ways, it is important to code them so as to make sense of them in context, in larger contexts that sheds light on the relevant current of ideas that may be used in different situations.
Thus is the usefulness of significant acronyms that one may relate to automatically as they express a well defined story, not just those abundant acronyms used for mnemonics. As stories are easily accessed in such manner, they can be connected readily for meaningful insights. That's the way science has evolved, and that's the way science will evolve in the fast moving fields of the social sciences.
It is not just necessary to analyze bodies of facts and process them all the way to the levels of variances, univariability, mulitvariability, regression etc. but is also very urgent and determining to consider stories and bodies of Stories, larger and larger and larger bodies of Stories in order to gain perspective and insights into issues being investigated. That's the best way to make sense of the conditions under which they may variate and why. There may be in such endeavor the possibility to predict what may happen eventually, virtually in some situations, or at least to consider alternatives of evolutions that if not precise are clearly directional and very beneficial to meaningful analysis
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