Week 8 — Foreign Bodies

For this blog post, I chose to read Foreign Bodies, by Peregrine Hodson from the Granta Magazine, Edition 46 under Essays and Memoir published March 1st, 1994.

The short story revolves around a horrible crime that occurred when a group of friends went to vacation in Morocco. There were four friends: Amanda, Roddy, Jane, and the narrator, who is dating Jane. As soon as the story begins, the narrator makes it clear that Amanda has gone home early because she missed her dog. The narrator also makes it clear that Roddy and him are friends, and that although Jane and him have been dating for three years, they know they will not be together forever and will eventually break up. While there, they have sexual intercourse, but both know that there is not a real connection there and it will end soon- probably when they return from the vacation.

On the last night there, they decide to go to the beach and watch the waves hit the coast. While there, a French guy comes and offers to smoke kif with them, which they agree. They engage in conversation, and eventually, two of the French guy’s friends join them. Their names are never given, so in the table, I simply call them “man one” and “man two”. As time passes, two more of the French guy’s friends come and they are soldiers. One is described to be thin and the other tall. In the table, I refer to them as “thin soldier” and “tall soldier.

When the narrator notices that they begin to speak in Arabic together, he gets a bad feeling and decides they should leave. As they begin to pack their things, the French guy attacks him. He tells Roddy to go find help and as he runs away, “man one” and “man two” run after him. The French guy keeps the narrator pinned to the floor and forces him to watch as his soldier friends take turns raping Jane.

After the rape is concluded, they all leave and the narrator is left with Jane, who is hurt. He holds her as they watch the waves and wait for Roddy to return (assuming he has outrun both men and will return).

I created a table on Google Fusion tables, which you can find here: Connections

Disclaimer: Creating a table linking everyone was difficult, mainly because very few of the characters knew one another or had any real connections. There are other limitations, such as knowing whether or not the French guy’s soldier friends and the other friends knew one another or were summoned there by the French guy. Additionally, we do not know how strong their bond is, though I am assuming it is strong if they planned a rape together. Additionally, because the details in this story were slim, there was no way to know the length of their relationship either.

 

Blog Post #6: Digital Harlem

I chose to focus on Digital Harlem, a digital humanities project focusing on everyday life in Harlem, New York from the years 1915-1930. The 4 people who created this digital archive were from Australia and chose to display Harlem in a different light. Rather than portraying life from black artists and the black middle class, as usually done when thinking of Harlem, they chose to chow regular New York City life. Their sources were mainly legal records, such as the district attorney’s closed case files, the probation department case files, newspapers, the committee of fourteen papers, and the writer’s program collection.

Their interface and research is mainly observed through their usage of maps. As we learned in class, maps are often subjective and can be created in a way to strengthen the point of view of the author, can be misleading, or easily misinterpreted. This is not all maps, however, as most are thought of to be historically authentic and not open to interpretation. Below is a map showing arrests from 1915-1925 without a specific tag. screen-shot-2016-11-06-at-11-50-28-am

Although, I do not believe that these maps and the ability to thoroughly search through crimes is inaccurate, I believe that the authors might have been trying to show Harlem as a crime ridden neighborhood throughout those times. This is because even though there is a chance to look for searches including “weddings” and “parties”, almost 90% of the tags have to do with crimes, arrests, or illegal things of some sort. Just like David Turnball mentions that it is impossible for a map to absolutely show everything, it seems as if this map is specifically trying to show one thing: crimes. It might even reflect the point of view of law enforcement at the time, since being law enforcers meant that most of their word revolved around solving crimes, which led to crime being their lives.

I would propose to keep these same maps, instead of creating a whole new one, but change the title of the project itself. This is not a representation of everyday life, since I am almost certain that most people in Harlem at that time did not just rob, steal, deal drugs, etc. I understand that the authors do not want to focus on only black life, but I believe that they could focus on only crime (although it already seems they did) and could just retitle the project to: Crime in Harlem 1915-1930. If I could propose changes to this map, it would simply be removing the other tags, such as “weddings” and “parties” and tabs like “churches”. I would also find it interesting to have the mug shot of the person who committed the crime; that would be interesting to see there.

Wordle on the NYC Tenements

Creating visualizations are often hard if the data being used is tricky. This is exactly what happened with this week’s blog post. I decided I would attempt to get a head start in our big project by using my data, as it would give me an excuse to really look into the data and make a visualization. My data consisted of about 1100 photographs of New York City Tenements taken by inspectors between the years 1934-1938. The issue with the data is that instead of there being a hyperlink for each photograph, there is a permalink that takes you to the collection website and shows you only that individual photograph (there is no scrolling function on the archive database). Additionally, because the label on all of them are “NYC Tenements” and there are only 5 different year options, I decided to use the notes. The notes, on the other hand, had a lot more information that could actually be used to create a visualization (disclaimer: I am sure I can create better digital representations of my data once we have moved further along in the course).

In the notes, there was information about the picture itself, such as “baby sitting on a bed”, generic information about what the photograph showed, such as “storefront”, and even the address of where the photograph was taken. With this, I copied all of the notes and pasted them onto the Wordle database. While I waited for Wordle to create a “word cloud” of the most common words found in the description notes of over 1100 data entries, I expected to see words like “storefront” or “child” or “st (because of the addresses” be bigger than the rest. Instead, it made me think about a whole other aspect of my data that I had not even considered exploring.

When the cloud arrived, these were the huge words: Manhattan, Brooklyn, and Bronx. That’s when I thought that maybe instead of focusing so much on what was in the picture, I could categorize them according to where in New York the picture was taken. I already had previous knowledge that those were neighborhoods in which immigrants at that time flooded to, and thought that could have something to do with why the photos showed small enclosed spaces with big families, crowded storefronts in building corners, tall buildings with many windows signaling many apartments, etc. Thanks to this word cloud, I was able to see that most of these photographs were taken in 3 specific neighborhoods, where before I was too busy focused on what each photograph contained. Now with this new outlook on my data, I can attack it in a way that is organized and much easier to manage. In other words, Online Visualizations-1 Excel Sheet-0

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Los Angeles’ 2013 City Payroll by Job Class

 

I observed the Payroll by Job Class data set, which is based on the city payroll data for all Los Angeles City Departments since 2013. It is organizes into a very detailed spread sheet with a lot of useful information and is updated on a quarterly basis (when in its current year) to ensure accurate and up-to-date information.

The spreadsheet has dozens of data types. In the order from which they are read left to right, the data types are: year, department title, payroll department, record number, job class titles, employment type, hourly or event rate, projected annual salary, Q1-Q4 payments, payments over base pay, percentage over base pay, total payments, base pay, permanent bonus pay, longevity bonus pay, temporary bonus pay, lump sum pay, overtime pay, other payroll and adjustments, MOU titles, department class, pay grade, average health cost, average dental cost, average basic life insurance, average benefit cost, benefits plan, and finally, a job class link. A record in this database is whenever a row is added, in which each of these data types, or columns, are filled out for every individual and their position added.

Using Wallack’s and Srinivasan’s definition of ontology, I would classify this dataset as a meta ontologies. It is created by the state in an attempt to inform its citizens about pay roll in certain cities, yet the data might overwhelm or allude citizens who do not understand how to read data or have technological barriers to access it. Because of this, I believe that government officials, whether it is the mayor or a local city police officer, will find this information most useful and illuminating. This is not to say, however that a local citizen might wonder where their tax dollars are going to or how much the pay is for a certain position. Yet, I believe it is most useful to government attempting to figure out the fiscal year.

The phenomenon in this data sets describes the way pay increases as you move higher in the city ranks, as well as responsibility. It attempts to show how often and how much officials get paid in the position they are in, as well as how they spend that money when using government resources. However, even though this dataset is very detailed, I find it missing some things. It does not have the names of government officials, which might confuse people when they see the same titles. It also does not mention how long the person have been working for the government, which might result in confusion for differing salaries within the same position.

If I was starting over with this data collection and was someone else with a different point of view (and didn’t know it was made by the city), I would think this was a critique of how much government officials are being paid using tax payer money.

Japanese American Internment Finding Aid

I chose to take a look at the “Finding Aid for the Collection of Material bout Japanese American Internment, 1929- 1956 bulk 1942-1956”. By first looking at the descriptive summary, I am able to get an idea of the kinds of historical narratives that comprise the collection. For example, from the title I know I will encounter narratives about Japanese relocation, specifically those publications released by the War Relocation authority, Japanese American internees and advocacy groups. I know that there are 4 boxes and a folder in English at UCLA, where I can visit with an advanced notice. Once I begin reading, the descriptive summary also tells me there is a placed emphasis on the Manzanar and the Minidoka internment camps.
Looking at the Container list, I see that the first two boxes contain documents, such as speeches, pamphlets, and annual and semi-annual reports of the years. Continuing on, the finding aid tells me exactly what I can expect to find in every folder in that box, whether it is a report or a speech. Through reading descriptions of each folder, I have concluded that the narratives include a lot of information on life in the camps, as well as speakers of the WRA using racial prejudice to justify reasons for the camp and explain how they would be beneficial to America. The second box focuses on the two camps mentioned above, with more detail on life, sports, entertainment, and even yearbooks of the graduating classes while in the camps. The final box has a more diverse array of documents, such as outside analysis of Japanese life and advocacy groups. The last box, also being from later times, depicts documents from people opposed and for the internment whom were “on the outside looking in”.
If I were to base my research only on the information I found inside these boxes, I think it would be incomplete. Yes, there are documents explaining the history, detailed account of life inside the camps, and the lives of people outside, but a greater scope is missing. Because the archive is mainly focused on two camps, I cannot assume that all Japanese American internees experienced the same life inside the camps. It could be that these camps were a lot different than the others, whether being better or worse. Additionally, I do not believe there is enough historical background, only minimal information on World War II and the bombing of Pearl Harbor. Lastly, I believe the archive would benefit from more documents on life after the camp. To remedy this, I would recommend using this archive as a helpful aid, but finding a bigger and more diverse archive to facilitate one’s research.

Early African American Film- Blog Post #1

Early African American Film Database Interface

After exploring the Digital Humanities projects and their online databases, the Early African American Film option caught my attention the most. It is a collective database created by students at UCLA about African-American silent race films. They narrowed their search to those created before the 1930’s specifically for African American audiences. They gathered their information from a vast array of primary and secondary sources, ranging from archives, collections, written media, and record of actors/actresses themselves. When creating this online archive, their intention was to inform people about a time period in the film industry not many knew about, as well as highlighting special films, actors/actresses and production companies from the business. To do this, they created data visualizations, ranging from excel sheets to diagrams, and even included step-by-steps instructions in case people wanted to replicate their findings.

 

The database includes both primary sources, such as George P. Johnson’s Negro Film Collection which had production documents from his company, documents related to his brother, who was a black silent film actor at the time, along with magazine and newspaper clippings from the times’ films. They visited museums holding hundreds of films, spoke to scholars knowledgeable about the subject, read books dedicated to films, and looked at other online archives. Their secondary sources included essays about the time, studies on film and race, actor/actress/director profiles, and educational books that studied the history of black people in America, which therefore included their role in silent films.

 

By taking pictures, scanning items, and taking electronic notes of the data they found helpful to their project, the students were able to place the information onto their online database and into a solely digital environment. From the findings, they created spreadsheets, interactive graphs, and diagrams. They use Airtable to create the database and store a copy onto Zenodo, where scholars can store digital work Thus, this is linked to Github, which allows other people to edit and add onto their information, therefore creating a completely collaborative database. Their data also includes a “digital object identifier”, which makes it possible for people to cite their online archive when using its information.

 

To present their data, they chose a simple interface, where the headings and drop down tables are well organized and incorporate the main ideas and main subheadings. The photographs used add to the black and white feel of the website, hence black and white films of the time. The graphs, visuals, and screenshots allow you to zoom in, move the cursor for information, view in a larger screen for comfort, or take you to a different page where the diagrams move and become interactive. Overall, this Digital Humanities project is easy to maneuver, enjoyable, and educational!