In response to unprecedented exigencies, more systemic solutions may be necessary and fully justifiable under fair use and fair dealing. This includes variants of controlled digital lending (CDL), in which books are scanned and lent in digital form, preserving the same one-to-one scarcity and time limits that would apply to lending their physical copies. Even before the new coronavirus, a growing number of libraries have implemented CDL for select physical collections.
To be honest, I am so tired of sitting on my butt that I plan to spend much more time walking to and browsing around the library at the University of Alberta. As much as digital access is a convenience, I’m missing the occasions for getting outside and walking that a library affords. Perhaps we should think of the library as a labyrinth – something deliberately difficult to navigate in order to give you an excuse to walk around.
Perhaps I need a book scanner on a standing desk at home to keep me on my feet.
The Computer Literacy Project, on the other hand, is what a bunch of producers and civil servants at the BBC thought would be the best way to educate the nation about computing. I admit that it is a bit elitist to suggest we should laud this group of people for teaching the masses what they were incapable of seeking out on their own. But I can’t help but think they got it right. Lots of people first learned about computing using a BBC Micro, and many of these people went on to become successful software developers or game designers.
I’ve just discovered Two-Bit History (0b10), a series of long and thorough blog essays on the history of computing by Sinclair Target. One essay is on Codecademy vs. The BBC Micro. The essay gives the background of the BBC Computer Literacy Project that led the BBC to commission as suitable microcomputer, the BBC Micro. He uses this history to then compare the way the BBC literacy project taught a nation (the UK) computing to the way the Codeacademy does now. The BBC project comes out better as it doesn’t drop immediately into drop into programming without explaining, something the Codecademy does.
I should add that the early 1980s was a period when many constituencies developed their own computer systems, not just the BBC. In Ontario the Ministry of Education launched a process that led to the ICON which was used in Ontario schools in the mid to late 1980s.
50 years ago on October 29th, 1969 was when the first two nodes of the ARPANET are supposed to have connected. There are, of course, all sorts of caveats, but it seems to have been one of the first times someone remote log in from one location to another on what became the internet. Gizmodo has an interview with Bradley Fidler on the history that is worth reading.
Remote access was one of the reasons the internet was funded by the US government. They didn’t want to give everyone their own computer. Instead the internet (ARPANET) would let people use the computers of others remotely (See Hafner & Lyon 1996).
Like many, I learned to program multimedia in HyperCard. I even ended up teaching it to faculty and teachers at the University of Toronto. It was a great starting development environment with a mix of graphical tools, hypertext tools and a verbose programming language. It’s only (and major) flaw was that it wasn’t designed to create networked information. HyperCard Stacks has to be passed around on disks. The web made possible a networked hypertext environment that solved the distribution problems of the 1980s. One wonders why Apple (or someone else) doesn’t bring it back in an updated and networked form. I guess that is what the Internet Archive is doing.
JSTOR, and some other publishers of electronic research, have started building text analysis tools into their publishing tools. I came across this at the end of a JSTOR article where there was a link to “Get more results on Text Analyzer” which leads to a beta of the JSTOR labs Text Analyzer environment.
This analyzer environment provides simple an analytical tools for surveying an issue of a journal or article. The emphasis is on extracting keywords and entities so that one can figure out if an article or journal is useful. One can use this to find other similar things.
What intrigues me is this embedding of tools into reading environments which is different from the standard separate data and tools model. I wonder how we could instrument Voyant so that it could be more easily embedded in other environments.
He started by talking about whether textual traditions had any relationship to the material world. How do texts relate to each other?
Today stemata as visualizations are models that go beyond the manuscripts themselves to propose evolutionary hypotheses in visual form.
He then showed what he is doing with the Canterbury Tales Project and then talked about the challenges adapting the time-consuming transcription process to other manuscripts. There are lots of different transcription systems, but few that handle collation. There is also the problem of costs and involving a distributed network of people.
He then defined text:
A text is an act of (human) communication that is inscribed in a document.
I wondered how he would deal with Allen Renear’s argument that there are Real Abstract Objects which, like Platonic Forms are real, but have no material instance. When we talk, for example, of “hamlet” we aren’t talking about a particular instance, but an abstract object. Likewise with things like “justice”, “history,” and “love.” Peter responded that the work doesn’t exist except as its instances.
He also mentioned that this is why stand-off markup doesn’t work because texts aren’t a set of linear objects. It is better to represent it as a tree of leaves.