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Sorry, that was incorrect. Pratolini is not the only one with two publishers in the UK, but the only one who has two publishers repeatedly translating works of his
A note on visualisation. For no good reason a majority of visualisation tools cannot handle categorical dimensions. Probably they can't be bothered with explicitly having to specify an order of the visualisation dimension. This is only one of the reasons we found tools like Excel fast, but too limited to be useful. Programmable tools like ggplot or bokeh are more powerful, but iterations take too long to visualise and that slows down the exploration process. We've found #RAWgraphs a great solution for two reasons. First, it allows categorical dimensions in the charts we used, and second, it allows SVG export for post-processing. So shout out to https://www.rawgraphs.io/
Finally, after a first exploration, one might feel ready to see the big picture, i.e. fusion. Of course after that one might tbacktrack to drill back into particular values.
One way to show multidimensional (nominal data, except for years) that we've found useful is the following graph. But more generally we need visualisation techniques that allow for multidimensional nominal data. For two dimensions heatmaps could be a good candidate. It gets more complicated with more dimensions. Alluvial diagrams could turn handy here
The second pattern is generalisation. It says we should fix our dimension of interest and and vary anything independent of it. We do this by focusing on individual authors and looking of other dimensions (e.g. the interplay between Italian and UK publishers). In the example here, we consider Vasco Pratolini who is the only author from the above graph that has more than one publisher in both countries. Of course this graph is just a start of an enquiry as to why this occurs. In our case we actually had to look into the archives of publisher exchange to get an understanding, but that's beyond the topic here.
PS: Sorry for the transparent backgrounds of images that don't work well on dark app themes. The graphs can be seen better in the paper which is at the end of this thread
These patterns of variation consider aspects of phenomenon, which at a simple level could be seen as dimensions of data. The simplest of the three patterns is contrast, the idea that to start understanding a phenomenon one needs, to consider each of its dimensions in isolation (i.e. variating it while keeping others fixed). Our example is from translation of Italian novels from the post-war period into the UK market. We apply contrast on authors. Our way to fix other dimensions is by counting them
First, what is #phenomenography and how could it help us. In contrast to phenomenology that studies what phenomena are, phenomenography is concerned "only" with how these are perceived. We build on the idea that scientific inquiry could also be seen as learning at the collective level. This is especially true for interdisciplinary research conducted by a team of researchers (hello digital humanities). A theory that emerged from phenomenographic research is what is called variation theory, i.e. one needs to experience variation to comprehend a phenomenon. And there is a very specific way to achieve this: by using patterns of contrast, generalisation and fusion
In the morning session today Sara Sullam and I will be presenting our work on exploring nominal (in our case study - bibliographical) data. We do it by borrowing a method from educational research - the notion of phenomenographic variation. #CHR2023🧵
"Many historians likewise have embraced digital literacy as one of the most essential skills we can teach students, but if educators bury our heads in the sand and attempt to ban AI from the classroom, crucial learning opportunities are lost. "
#history #edtech #edchat
The 8th Joint SIGHUM Workshop on #ComputationalLinguistics for #CulturalHeritage, #SocialSciences, #Humanities and #Literature to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in St Julian’s, Malta.
For more information, please visit:
Please do check out our poster on explicit references of values in folk tales where we compare the values (Schwartz) in 3 corpora from three European countries. We evidence how between Germany, Portugal and Italy there are common traditions (emphasis on the values of Universalism, Tradition,...), but also cultural peculiarities, e.g. different ways to convey such values #CHR2023
Full text at https://tales.ko64eto.com/ref
Just found out there's the #CHR2023 tag here. For a second day I miss the morning sessions, but what I managed to catch has been really inspiring, lots of food for thought. If you didn't know about it, check out https://2023.computational-humanities-research.org/programme/
We will look at the people, software, and processes of the Fediverse, and make strong recommendations for how open source projects, philanthropic funders, civil society organizations, and others can co-create a Fediverse that is safer and better for humanity than the social media we've been stuck with for decades.
Умерла сестра Фиделя и Рауля Кастро Хуанита. Она 60 лет прожила в США и сотрудничала с ЦРУ, пытаясь изменить режим на Кубе
Хуанита Кастро умерла в возрасте 90 лет в Майами, пишет «Голос Америки».
«Исключительная женщина и неутомимый борец за дело Кубы, которую она так любила», — написала соавтор биографии Кастро Мария Антониета Коллинз в инстаграме.
Хуанита Кастро, первоначально поддерживающая борьбу братьев и идею революции на Кубе, в середине 1960-х годов покинула остров и обосновалась в США. Кастро переехала в Майами, купила аптеку и проработала в ней до 2007 года.
Фото из инстаграма Марии Антониеты Коллинз.
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