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Labs 8 and 9: Literary Data with Voyant and Palladio (3/5/25) – Myrcale Suber

Hi, for my Voyant and Palladio assignment I chose to do the Alton encyclopedia and the St. Louis article. The things I saw come up a lot when it comes down to comparing. The word chose popped up a lot more in Alton than St. Louis, which was opposite. Why I decided to choose these to articles to compare because I wanted to see what data or facts i could gather up and wanted to see how Voyant is going to re-shape these articles.

ZacharyT Library Data with Voyant STL 1862 VS Alton 1906

In this comparison I chose to pick St. Louis in 1862 vs Alton in 1906. Based on the data there was a cross between the Cirrus I noticed how regardless to the word count difference both are centered around the words City and St. Louis. I would have thought the Alton one would be more focused on Alton itself and the history, but since it’s in the metro area of St. Louis it makes more sense as to why it appears in the article still. Also seeing how St. Louis 1862 had way more information about the city and what took place compared to the Alton 1906 and that could be due to the fact that STL is still bigger than Alton therefore have more information about what took place.

Voyant lab

for thr lab I chose to compare to the alton encyclopedia documents.

off of a brief skim I assume both texts will likely mention the town and the river quite a bit.

after processing the corpus, I found that indeed both mentioned the name Alton and the river quite a bit. Additionally the both mention Saint Louis and the Mississippi River by name.

something interesting is that the 1906 version has on average 1 more word per sentence, maybe some indication of a move toward more elegant language compared to the earlier text.

Labs 8 and 9: Literary Data with Voyant and Palladio (3/5/25)

Voyant

Voyant is a tool for distant reading. It helps us identify patterns within a text or set of texts (corpus). Today, we’ll use it to take a birds-eye view of how people view communities in the region. Remember that as a quantitative method, distant reading generally asks us to formulate a hypothesis about what we might find when we analyze our texts. So what similarities and differences might you expect about the texts you’ve chosen? You can compare across geography (St. Louis vs. Edwardsville, for instance) or across chronology (St. Louis in 1860 vs. St. Louis today) or some combination thereof.

  1. Choose at least two texts to compare. You can choose from encyclopedia entries in this Google Drive folder, and/or you can use Wikipedia articles (current or older versions).
  2. Skim at least one of them and develop a hypothesis about what you might find when you compare your texts.
  3. Input the two texts as a corpus and choose a visualization with which to test your hypothesis.
  4. Write a blog post describing your texts, question, hypothesis, and results.

Palladio

Palladio is a tool for visualizing and exploring data through maps, network charts, and categories. We’re going to begin by creating our own data set of immigration and migration data using the 1900 Census.

  1. Working in a group, choose a census from this folder and add at least three lines apiece to the spreadsheet. (If you get stuck on handwriting, let me know and we can look at it together.
  2. Together, we’ll put the data into Palladio and see what patterns emerge.

Problem statement

  • Observation, background, context: Here you might talk about what drew your attention to this topic, what struck you as interesting about it, and/or any important context for the topic.
  • I have recent visited the Saint louis science center, for the first time since i was young. The building and displays hadn’t changed too much, it was a very nostalgic trip all together. One thing in particular caught my eye though, Across the skybridge over the highway with the radar guns. (Fun fact, my father Bill Kingsley made the circuit boards for those radar guns, the ones they still use! Over 30 years ago when he worked at the science center.) Across that bridge, there are about 6 or 8 display cases, showing off various collections of different antiques. Random stuff like jade idols, jewelry, rock collections, all sorts of stuff. When I was there looking at those collections of interesting artifacts, I saw the placard which said these were only some of the collections the science center has in its possession.
  • Problem: What problem or question arises from your observation?

    My question is, if the Science center has more interesting collections in storage, why do they only display some of them? Why dont they digitize these collections so they can be viewed even if the center does not have the display room?
  • Frame: How are you approaching that problem? What’s your point of view?

    I would like to write a sort of call to action to prompt the Science Center to digitize their collections, so they can be viewed and enjoyed rather than just stored away somewhere.
  • Example sources: Provide citations for one primary source (something that is direct evidence for the question you’re asking) and one secondary source (something that uses direct evidence to make an argument) that relate to your research question.

    Primary source: You searched for collections – Saint Louis Science Center
    The Science center’s current digitization efforts, show casing only some of their collections. I believe this shows they have the ability to digitize their collections.

    Secondary source: Historical Preservation using an Artec Spider 3D Scanner – Central Scanning -Explaining how 3d scanning is used in archeology. I believe this same technology can be adapted and used to 3d image the collections so they can be viewed in great detail online.
  • Proposed technology: What tool or method do you intend to use in your project?

    The tool would be 3d scanning technology, there are various different programs which can take a serious of images and stich them together into 1 3d model.

Problem statement – Myrcale Suber

Myrcale Suber

3/3/2025

Outline

My outline project will be based upon the music of Saint Louis, and one of them that comes up is Kathy Dunham, and many other performers and artists that are worldwide in Saint Louis. I’ll be giving you full details and topics, and my digital project, will be going through a story map of where things originated and how Kathy Dunham played a huge part in Saint Louis history. Also, many others that have followed in her path to become leaders and put a stamp on America. I want to explore different kinds of music genres, things that people may not even think could come together, but when you see it is beautiful. I will be describing Certain movements originated through my story map, giving you Full disclosure of how Kathy Dunham and others were able to. This creates new elements in dance culture and music culture because without music, there won’t be any dance, and without dance, there’ll still be music. But both of them coexist together so well so I am so happy to be able to explore the different music genres, super excited for you guys to see my final project and also giving you full evidence and details of how things are going through the process.

Lab 7: Text Editing with the Recovery Hub Edition Framework (3/3)

Although we often think of corrections to a text when we imagine editing, literary editions serve lots of functions (and very rarely is correction one of them!). Literary editions layer different kinds of information about a text through annotations, including background on the period or place, context from the author’s life and other works, and variants across different editions of the text. In this way, they help to make the text more approachable and help the reader engage with the text more deeply.

In a printed edition, you’ll often encounter these annotations as footnotes. In digital form, they come in lots of shapes and sizes: links to other pages, pop-ups, and digital footnotes that link back and forth between text and annotation.

Today, we’re using the Recovery Hub Digital Edition Template to annotate Frederick Douglass’s speech on the Dred Scott decision. You read this speech last week and made note of areas where further clarification and background might help people understand the text better. Today, we’ll put that into action.

The Recovery Hub’s template is designed to make the process of creating a digital edition simpler. Although there’s lots of code involved, you don’t have to write it! Instead, you can use their existing code and lightly customize it to suit your text. Today, you don’t have to interact with the code at all! But if you’re interested — maybe you want to try your hand at digitizing your family’s recipes, like we talked about last week? — you can find the template on GitHub.

Instructions

I’ve set up the project for us by creating a repository for our code and cloning the template. Here are your tasks:

  1. Head over to this Google doc, which contains the speech. Leave a comment on the section of text you’d like to annotate with your proposed annotation and your name. This could be a single word, a phrase, or a sentence.
  2. We’ll discuss the annotations together and see what themes emerge.
  3. Once you’ve got a sense of the kinds of annotations people have proposed, go back and fill out your annotation. Here are a few points to touch on:
    • Why this annotation? What about the text you selected seemed like it needed further engagement?
    • Explain the term, concept, or other content.
    • Link to at least one external resource.

Digitalization

Title: Girls Like Us

Creator: Randi Pink

Date: Published in 2019

Format: Paperback book

Description: This book holds personal significance because it reignited my love for reading. After a period of not engaging with books as much, Girls Like Us reminded me of the power of storytelling and the way literature can connect us to different perspectives. The novel explores the experiences of four young women navigating teenage pregnancy in the 1970s, shedding light on themes of choice, agency, and societal expectations. Beyond my personal connection, the book speaks to broader histories of reproductive rights, gender roles, and the struggles that young women have faced across generations.

GPT-4 Forecasting Challenge

The GPT-4 Forecasting Challenge was an interesting way to test my assumptions about the model’s performance. Overall, GPT-4 performed about the same as I expected. My strategy started with assumptions about specific task strengths and weaknesses, and I adjusted my probabilities as I observed its responses. I noticed that GPT-4 was particularly strong at factual recall and sometimes structured reasoning but struggled with complex logic. One surprising result was weakness, which made me reconsider how I assess AI capabilities.

Cahokia AR app

The Cahokia app enhances accessibility by offering remote users an immersive experience through augmented reality and virtual reconstructions, making history more engaging for students and those unable to visit in person. However, it falls short in fully incorporating Indigenous perspectives and may not be fully accessible to users with visual impairments. To be more inclusive, the app should amplify Indigenous voices and improve accessibility features for all users.

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