Collating software

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Click for More Info. Any time you're printing more than 1 page, you may be asked whether you want your pages collated. The more pages you have, the more important is to make the right selection. Choosing the wrong option for collated printing could mean hours of extra work rearranging or "collating" your pages into the correct reading order after you receive them. It's always best to approach a print job knowing if, and how, you need your pages collated.

Most sequential collating is done during printing. Each individual sheet prints off in the predetermined order of collation typically page 1, 2, 3, and so on. Some specialty jobs call for multiple types of paper to be used throughout the document which also requires special collating setup. Collated Printing generally refers to multiple originals printed and sequenced in logical numerical order. Each set contains one copy of each original in its defined place in the sequence.

More broadly, collated printing refers to any print job that requires pages or paper types to print in a specific order. For example, a print run of copies of 3 originals not collated would print all copies of page 1 in a "set," then all copies of page 2, then all copies of page 3. This depends entirely on the purpose of your print job.

While it did take me time to clean up the digital texts so that Juxta could do its job most efficiently, in the end, Juxta certainly saved me time—time I would have spent keeping collation records, constructing an apparatus, and creating the HTML files as I wanted to do a digital presentation. I would be remiss, however, if I did not recommend a few improvements and future directions. As useful as Juxta is, it nevertheless has limitations.

One difficulty I had while cleaning my texts was that I could not correct them while viewing the collation sets; I had, rather, to open the witnesses in separate windows. The ability to edit the witnesses in the collation set directly would make correction of digitization errors much easier. This is not a serious impediment, though, and is easily dealt with in the manner I mentioned. Most scholarly editors, however, likely will need to adopt readings from different witnesses at some point in the preparation of their editions.

For the sake of visualizing, I did some screenshot melding in Paint of what this function might look like:. Currently, an editor wishing to use the Edition Starter to construct an edition would need to select either the copy-text or the text with the most adopted readings for the base text. I do not know the intricacies of the code which runs Juxta. I looked at it on GitHub, but, alas!

I intend to delve more as my expertise improves, and in the meantime, I encourage all the truly code-savvy scholars out there to look at the code and consider this problem. In my opinion, this is the one hurdle which, once overcome, would make Juxta the optimal choice as an edition-preparation tool—not just a collation tool. Another feature which would be fantastic to include eventually would be a way of digitally categorizing variants: accidental versus substantive; printer errors, editor corrections, or author revisions; etc.

Then, an option to adopt all substantives from text A, for instance, would—perhaps—leave nothing to be desired by the digitally inclined textual editor. I am excited about Juxta. I am amazed by what it can do and exhilarated by what it may yet be capable of, and taking its limitations with its vast benefits, I will continue to use it for all future editorial projects.

Every now and then I like to browse the project list at DHCommons. What really caught my attention, however, is that they freely offer a toolkit of materials from their project, including XML documents marked up in TEI.

This allowed me to take a closer look at how they encoded the text featured in the demo, and try visualizing it, myself. This embed shows the same text featured on the Digital Thoreau site, now visualized in Juxta Commons.

It is possible to import a file encoded in TEI Parallel Segmentation directly into Juxta Commons, and the software will immediately break down the file into its constituent witnesses see this example of their base witness from Princeton and visualize them as a comparison set. Parallel Segmentation file added and processed. I should also note that Juxta Commons allows the user to export any other sets they have created as a parallel-segmented file.

This is a great feature for starting an edition of your own, but it no way includes the complexity of markup one would see in files generated by a rigorous project like Digital Thoreau.

We like to think of it the Parallel Segmentation and new experimental edition builder export as building blocks for future scholarly editions. Many thanks to the team at Digital Thoreau for allowing us to make use of their scholarship! What do you get when you collate as many free Google versions of the same text as you can find?

In the process of testing the efficacy of the software, I believe I stumbled upon a useful experiment that may prove helpful in the classroom: a new way to introduce students to textual scholarship, to the value of metadata, and to the modes of inquiry made possible by the digital humanities.

Because the poem is relatively long, I chose to focus solely on its Prologue — not only to expedite the process of collation, but to see if one excerpt could give a more global view of changes to the poem across editions. Once the set was complete, and collated, I noticed right away that there were significant passages that were missing in the and editions of the poem. Stepping chronologically through the set using the witness visibility feature the eye icons on the left showed no apparent timeline for this change why would it be missing in , present in , , , and excised again in ?

The Prologue was expanded in the 5th edition published in and it is that version that generally considered the standard reading text today. However, as we have seen from the Google Books on offer, even in , editions were offered that were based on earlier versions of the poem. Could the fact that both versions missing the stanzas are American editions be important? I invite Tennyson scholars to help me continue to piece together this puzzle. The full set is embedded at the end of this post.

Juxta Commons now offers a platform by which we can study the evolution of the most visited encyclopedia on the web—Wikipedia! The Wikipedia API feature allows users to easily collate variants that reveal changes made to articles, a useful tool when tracking the development of current events. The attack resulted in the tragic deaths of four Americans including Ambassador Christopher Stevens.