In addition to the two novels and two films we will be treating as the primary sources this semester, we will be reading several rather challenging articles and essays that will provide us with some of the theoretical and technical knowledge we need to critically explore the idea of dystopia. We will be using Hypothesis to explore these secondary texts by collaboratively annotating them online. Annotating a text in detail, whether a primary or secondary source, is a step towards the more expansive analyses we will be doing in class and in our podcast. Annotating collaboratively will empower you to engage with these texts and your classmates in a more dynamic way.
Critically reading these articles will help you to challenge theories of social justice against various dystopian examples. Annotating them will help you to articulate multiple, competing perspectives on and to analyze the underlying assumptions of those views. Working collaboratively through Hypothesis will enable you to build collaborative relationships with colleagues representing diverse cultures, races, ages, genders, religions, lifestyles, & viewpoints, to leverage existing digital technologies ethically & efficiently to solve problems, complete tasks, & accomplish goals, and to develop proficiency as a self-regulated learner.
Connected Course Outcomes
- Identify the defining characteristics of dystopia & analyze real & imagery contexts against that definition.
- Communicate effectively through writing & speaking.
- Use quantitative, empirical, and critical reasoning skills to solve problems.
- Demonstrate personal accountability & effective work habits.
For each of the assigned secondary texts, you must not only read the article before the designated class, but you must also annotate it through hypothes.is. Be sure you are logged into your Hypothesis account and that you’ve selected the Spring 2022 – XCOR 3010 group so we can all see your annotations. As we’re getting started, use the rubric below for a sense of what’s expected.
- If you need help creating your Hypothesis account, watch the “Creating a Hypothesis Account” video.
- If you need help learning what good annotating looks like, watch the “Annotating a Text” video.
Below are dates by when you must read & annotate the articles. Annotations must be done before class on the day due.
- Jan. 22: Five Faces of Oppression
- Jan. 29: Civilization & Its Discontents
- Feb. 12: Ur-Fascism
- Feb. 19: Leviathan
- Apr. 9: The End of History?
- Read the article!
- To annotate, select the text you are annotating, click the annotate icon, and enter your commentary into sidebar that opens.
- Don’t use the highlight tool. Highlighting is not the same as annotating.
- When you find a part that confuses you, look up what it means or refers to and create an annotation. If someone has already annotated it, read the annotation. Make a reply if you have something to add.
- Annotations can provide facts (definitions, explanations, etc) to clarify an idea or images (maps, animals, etc) to illustrate a concept, or they can add an insight (connect to another field or another topic) or ask a question (there’s nothing wrong with admitting you don’t understand something).
- These collaborative annotations will help you understand the article better; however, as this is an asynchronous system, keep two things in mind.
- The first people to annotate will not get as much out of the article, as they will not see (m)any other annotations. If this is the case for you, I’d suggested rereading the article again before class to see what has been added. This is also an effective exam prep method.
- For people who are the last to read the article, it will be more difficult to have something new to add, as many other people may have already made the same point or asked the same question. I’d suggest not waiting until right before class to do this assignment.
- There is no minimum number of annotations for any reading. Your annotations should show a consistent effort throughout the entirety of the text.
Annotated readings are assessed using the ungrading model. Your annotation will receive one of the following assessments in Brightspace:
- Completed, meets all expectations
- Completed, does not meet all expectations
- Not completed