Beruf-O-Mat. Find your former self

Based on the data sets provided for the Hackathon Coding Gender, the Beruf-O-Mat is an exciting quiz that uses six questions to find out which CV would have led to which (female) profession in the past and how well (or badly) women in the different eras were able to make ends meet with it.

Questions

1. Area: Where were you born? (City / Country)

2. Time: When did you grow up? (1870s / 1890s / 1908 to 1914 / 1914 to 1918)

3. Social background: In which social class were you born? ( Upper class / Upper middle class / Lower middle class / Lower class )

4. Education: What school did you go to? (elementary school / private lessons / citizen school)

5. Secondary school education / study: Where did you go to secondary school? (secondary school for girls / private school for daughters or boarding school for girls / teacher training seminar / school for arts and crafts / grammar school for girls / study as an auditor without a degree / study with a degree)

6. Marriage: Are you going to marry? (Yes / No)

The combinations of answers then lead to professions such as factory worker, maid, nurse or even writer, journalist and doctor.

 

Links

More detailed information can be found here: Berufomat

A first implementation of this quiz can be found under the following link (Attention: Link only available for some time!)

Weibsbilder. World Wide Women.

How can role models be represented? What relationships exist between specific role attributions, the activities performed and the source genres? Are there congruences between specific roles and source genres? These questions were answered by the team “Weibsbilder. World Wide Women” in the Hackathon Coding Gender. Based on the data sets Picturing Gender, Dolls Kitchens and Aeroplane Kites and Women in Wartime, these questions were investigated using the graph database neo4j. The available data sets were used to show how women were portrayed in different media at different times and what role attributions were made to them. At the same time, the use of neo4j in conjunction with Wikidata was intended to demonstrate the possibilities of indexing and mediation in order to give more attention and visibility to women and role images in historical sources – in line with the theme of the hackathon “CodingGender”.

Approach
  1. As a first step, the available data had to be extracted manually from the data sets, from which the property keys “Person”, “Occupation”, “Description” and “Role Assignment” were created. For a possible evaluation of the source genre, also the property keys “Medium”, “Publication”, “Title”, “Subtitle”, “Author” and “Identifier” were created.
  2. In the second step, the relationships between the nodes were marked. The respective source was described with the identifier of the Berlin State Library’s Digitised Collections in order to be clearly identifiable and verifiable. The descriptions of the women and their role attributions had to be lemmatised before being entered into the database.
  3. In parallel, the sources were entered as data records (also manually) in Wikidata and Wikimedia with their corresponding statements (inventory number, GND-ID etc.). The identifiers of the digital collections of the Berlin State Library were also used for the individual sources. The respective unique identifier from Wikidata was then assigned to the respective source in neo4j.

With just a few data sets, the Hackathon project “Weibsbilder – Word Wide Women” wants to show the possibilities of using graph databases in combination with Wikidata: On the one hand the use as a research environment and on the other hand the increase of visibility of women in the World Wide Web. If the project is continued, the development of a user interface would be desirable, both to facilitate the communication of the research results and also to enable the addition of further data/data sets, for example in the context of a Citizen Science project.

SBBrowse

Digital library (DL) support for different information seeking strategies (ISS) has not evolved as quickly as the amount of content or the quality of presentation. However, several studies argue for the support of explorative ISS alongside the directed query-response paradigm. Hence, this project presents a primarily explorative research system prototype for metadata harvesting allowing multimodal access to DL content for researchers during the research idea development phase, i.e., while the information need (IN) is vague. To address evolving INs, the prototype also allows ISS transitions, e.g., to OPACs, if accuracy is needed.

As its second contribution, the project presents a curated data set for digital humanities researchers that is automatically enriched with metadata derived by different algorithms including content-based image features. The automatic enrichment of bibliographic metadata is needed to support the exploration of large metadata corpora as traditional metadata does not always address vague INs.

This demo clearly shows that use-case-specific metadata facilitates the interaction with large metadata corpora.

When clicking the following link, make sure you run Chrome or Firefox as we deny the existence of other browsers. You should also own one of the fonts ‘Helvetica Neue’ or ‘Helvetica Light’, use a reasonably fast computer as the next page makes heavy use of JavaScript, and have a fast internet connection to quickly load a lot of images. You should also remember to click the ? if you have no idea what to do.

Enter Demo

Double-clicking a document lets you inspect a cluster. Clicking a document once makes it the current document.

Back to overview
ESC Remove comparison edges
b Build metadata package
c Compare current document to others
d Display details of current document
m Display map of displayed documents
p Pause animation
s Start animation

Links

Source code

Developed by

  • David Zellhöfer

ShiCo

Introduction

ShiCo – Exploring Shifting Concepts Through Time in Digitized Newspapers.

ShiCo is a tool for visualizing semantic shifts in certain concepts over an extended period of time. “Concept” here means a set of terms which are semantically related to a central subject term. ShiCo uses a set of semantic models (word2vec) spanning a number of years to explore how concepts change over time – words related to a given concept at time t=0 may differ from the words related to the same concept at time t=n.

Links

Source code

Data

Developed by

  • Netherlands eScience Center
  • Institute for Natural Language Processing University of Stuttgart

Berliner Schlagzeilen (aka “Berlin Headlines”)

Introduction

100 years ago, the Berliner Volks-Zeitung was the daily newspaper for the metropolis of Berlin. With a mix of serious high-brow content, light entertainment and sensational pieces it became the most successful tabloid newspaper of its time. The Twitter bot “Berliner Schlagzeilen” tweets the headlines and a picture of the title page from 100 years ago every day, on the day. In this way we connect the past with the present and make history accessible to a broad audience.

This application was developed during the event Coding Da Vinci Berlin 2017. The aim of the application is to make digitized historical newspaper articles easily accessible for users. In cooperation with the Berlin State Library, digitized newspaper articles were integrated into a Twitter bot.

Links

Source code

Developed by

  • Falko Krause
  • Erik Koenen
  • Olivier Wagener

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Altpapier (aka “used paper”)

Introduction

Read news from 100 years ago. With this app you can discover random newspaper articles from the days before yesterday. Find your favourites, such as quirky anecdotes, old personal ads or local phenomena.

The Altpapier (aka “used paper”) app brings the most exciting and unusual newspaper reports from the beginning of the 20th century to your smartphone. The app accesses digitized historical newspapers from Berlin State Library and makes them available via a modern news app. The app offers various feeds; individual articles are displayed with the date, the name of the newspaper, the headline and the actual news item.

This app was created during the event Coding Da Vinci Berlin 2017. The aim of the application is to make digitized historical newspaper articles easily accessible for users. In cooperation with Berlin State Library, digitized newspaper articles were integrated into an Android app.

Links

Altpapier can be downloaded from the Appstore.

This app was created using Android Studio. A version for iOS is under development.

Source code

Developed by

  • Maria Becker
  • Erik Koenen
  • Kathrin Konkol
  • Maike Orlikowski

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