The SPEME algorithm works for historical analysis by looking at multiple 
sources (primary, secondary, et cetera) and placing the person within those 
spectrums.  Once you have the sources placed within those spaces (and they are 
spaces, not just ranges), one can look at their differences and see if those 
are observational or cultural (i.e. did one person only see the war events from 
limited perspective or does he have a cultural bias about the warring parties). 
 Only then do you have a chance at understanding what was probably the reality 
- if you can keep your cultural biases out of the process.

As for the "good enough" issue - I think it is possible for ordinary 
individuals to duplicate the 11 nations work using other methods if they are 
willing to put in the non-trivial effort.  You could use free or low-cost 
resources at either Amazon or Microsoft to pull in all of the data one 
considers relevant from the WWW, run it through MapReduce (preferably using an 
abstraction language), and generate analyses.  Finding like-minded individuals 
would distribute the load.  The Internet and WWW make this possible - before 
them, only an academic with access to a lot of source material could have done 
it.  Likewise, only like-minded academics would have found each other and 
distributed the work load.  Now, like-minded ordinary individuals can find each 
other via the Internet and WWW.  This is part of the major current phenomenon 
of our time - the gradual shift of what used to require large, communal 
resources to the possibility of being done by individuals.

LIbrary science is driven by categorization and customers - what doesn't the 
library have and what will the library patrons demand.  I'm sure there are many 
librarians who think the works of Will and Ariel Durant are substandard - but 
their libraries have those books.  BTW, I personally like their work for the 
breadth and, if one considers the background of the authors, the books can be 
used with that grain of salt.

Ray Parks
Consilient Heuristician/IDART Program Manager
V: 505-844-4024  M: 505-238-9359  P: 505-951-6084
NIPR: [email protected]
SIPR: [email protected] (send NIPR reminder)
JWICS: [email protected] (send NIPR reminder)



On Nov 11, 2013, at 11:13 AM, Stephen Thompson wrote:

> Ray: 
> 
> Thanks for the resources to investigate.  This will take a bit of time.  
> 
> However, at what point do you say "I don't have the time to duplicate or 
> generate my own 
> research to derive a model similar to 11 Nations"?  We can not all be experts 
> in everything.  At 
> some point we must depend on others to have done a "reasonably" objective job 
> of creating 
> their model.  
> 
> I don't know of a formal rubric / algorithm / process by which one critiques 
> scholarly works 
> from outside the field.  I am sure such tools exist.  It looks like you are 
> showing one below.  
> 
> I wonder if there is such a process taught in Library Science?  Do such folks 
> need to critique 
> books as they are published as to the efficacy of adding them to the local 
> collection? 
> 
> StephT  
> 
> 
> On 11/11/2013 11:40 AM, Parks, Raymond wrote:
>> I would analyze this using the algorithm I learned from my history teacher 
>> in high school - Social, Political, Economic, Moral, Emotional - drawing on 
>> openly available information from the World-Wide Web.  In some ways, this is 
>> a big data exercise, albeit drawing from previous big data sources.

Attachment: smime.p7s
Description: S/MIME cryptographic signature

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com

Reply via email to