At Henrik Ibsen's Writings we also use <div>s for letters written over a
couple of days.
Ellen Nessheim Wiger
Henik Ibsen's Writings
> We also used <div> for the MacGreevy Archive
> Syd Bauman wrote:
>>>> I'm wondering how to encode letters which have been written over a
couple of days or even a longer period.
>>>> <dateline> is member of divWrapper, hence it is not allowed among
several parts of the letter. I do not really want to encapsulate the
letter parts in different <div>s because its just one (but long)
letter in a collection of half fictitious letters. Mark up the new
date only in another <p> also seems not to be the
>>>> appropriate solution.
>>> At the Carl Maria von Weber Gesamtausgabe those different writing
dates of one letter are currently represented by a <div
>>> type="writingDate" n="$int"> I see the point for hesitation since it
is just one letter you have to deal with but with Weber it
>>> occurs quite frequently...
>> My instinct is to use a <div> solution, too, as I see no trouble in
using <div> to mark temporal, as opposed to structural, divisions if
you know what I mean.
>> But if you shy away from <div>, plausible (although not necessarily
desirable) alternatives would be to:
>> * move <dateline> from model.divWrapper to a class that permitted it
>> where you want it (this means your schema is *not* TEI conformant,
but that wouldn't bother me much);
>> * add a new element <dateThing> in the TEI namespace (also *not* TEI
>> * add a new element <my:dateline> in your own namespace (TEI
>> * use <label> for the purpose with something like
>> <p>I'll let you know if she gives me anything for Valentine's!</p>
<label>Resuming on <date when="2008-02-15">15th Feb</date></label>
<p>Yesterday was <emph>Valentine's day</emph> for goodness sake,
>> and she barely even acknowledged ...</p>
>> The major advantage of using <div>, of course, is that you could then
easily separate text by particular day it was written. Imagine, e.g., a
visualization of the collection of letters in which each section of the
text was color-coded based on which day of the week it was
>> written. Or linguistic analysis based on number of days post-payday.
>> In any case, I hope this helps.
> Susan Schreibman, PhD
> Digital Humanities Observatory
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