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Todd Suomela

Ways to Compute Topics over Time, Part 1 · from data to scholarship - 0 views

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    "This the first in a series of posts which constitute a "lit review" of sorts to document the range of methods scholars are using to compute the distribution of topics over time."
Deb Balducci

Flipping the Classroom Facilitates Active Learning Methods - 0 views

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    This article appeared in the Emerging Ed Tch blog.
Todd Suomela

DH Infrastructure Symposium - HumTech - UCLA - 0 views

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    "We enthusiastically invite you to join us at UCLA on November 15, 2018 for the third annual Digital Humanities Infrastructure Symposium. Our focus this year is on some real-world built and building platforms and methods to support DH researchers. We welcome anyone interested in learning from what has been done in practical, infrastructure-building terms - especially technologists, library staff, and those involved or getting started in building DH capacity."
Todd Suomela

Doing Digital Scholarship - 0 views

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    "Doing Digital Scholarship offers a self-guided introduction to digital scholarship, designed for digital novices. It allows you to dip a toe into a very large field of practice. It starts with the basics, such as securing web server space, preserving data, and improving your search techniques. It then moves forward to explore different methods used for analyzing data, designing digitally inflected teaching assignments, and creating the building blocks required for publishing digital work."
Todd Suomela

Digital History & Argument White Paper - Roy Rosenzweig Center for History and New Media - 0 views

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    "This white paper is the product of the Arguing with Digital History Workshop organized by Stephen Robertson and Lincoln Mullen of George Mason University, with funding from the Andrew W. Mellon Foundation. The two-day workshop, which involved twenty-four invited participants at different stages in their careers, working in a variety of fields with a range of digital methods, was conceived with a focus on one particular form of digital history, arguments directed at scholarly audiences and disciplinary conversations. Despite recurrent calls for digital history in this form from digital and analog historians, few examples exist. The original aim of the workshop was to promote digital history that directly engaged with historiographical arguments by producing a white paper that addressed the conceptual and structural issues involved in such scholarship. Input from the participants expanded the scope of the white paper to also elaborate the arguments made by other forms of digital history and address the obstacles to professional recognition of those interpretations. The result was a document that aims to help bridge the argumentative practices of digital history and the broader historical profession. On the one hand, it aims to demonstrate to the wider historical discipline how digital history is already making arguments in different forms than analog scholarship. On the other hand, it aims to help digital historians weave the scholarship they produce into historiographical conversations in the discipline."
jatolbert

DHQ: Digital Humanities Quarterly: A Genealogy of Distant Reading - 0 views

  • Because Radway’s voice is candid and engaging, the book may not always sound like social science.
    • jatolbert
       
      I wonder what social science he's been reading.
  • In calling this approach minimally "scientific," I don’t mean to imply that we must suddenly adopt all the mores of chemists, or even psychologists
    • jatolbert
       
      And yet the effect is the same: scientizing processes and products which by their very natures as human works resist scientific analysis.
  • social science
    • jatolbert
       
      Again, this is a very different social science from that in which I received my own training, which has long held to the notion that objectivity is not only unobtainable, but undesirable.
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  • But computational methods now matter deeply for literary history, because they can be applied to large digital libraries, guided by a theoretical framework that tells us how to pose meaningful questions on a social scale.
    • jatolbert
       
      I wonder about this. Is he suggesting that examining a large corpus of published works is the same as examining an entire society? This would seem to ignore issues of access and audience, literacy, representation, etc.
  • The term digital humanities stages intellectual life as a dialogue between humanists and machines. Instead of explicitly foregrounding experimental methods, it underlines a boundary between the humanities and social science.
  • Conflations of that kind could begin to create an unproductive debate, where parties to the debate fail to grasp the reason for disagreement, because they misunderstand each other’s real positions and commitments.
    • jatolbert
       
      Similar to the conflation of sociology with all of the social sciences.
  • the past
    • jatolbert
       
      Is it appropriate to conflate the -literary- past with -the past-? That is, can any study based wholly on texts claim to be in any way representative of things outside the sphere of what we call "literature"?
Todd Suomela

Topic Modeling in Python with NLTK and Gensim | DataScience+ - 0 views

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    "In this post, we will learn how to identify which topic is discussed in a document, called topic modeling. In particular, we will cover Latent Dirichlet Allocation (LDA): a widely used topic modelling technique. And we will apply LDA to convert set of research papers to a set of topics."
Todd Suomela

Beyond buttonology: Digital humanities, digital pedagogy, and the ACRL Framework | Russ... - 0 views

  • Here are a few specific examples you can apply to your instructional design process to help learners with metacognition: Model the metacognitive process during instruction (or in one-on-one consultations) to ask and reflect on big picture questions such as: “What questions can you answer with this tool?” “What can you not do with this tool?” Keep in mind some answers may be simple (e.g., this tool can only work with data in this way, so it is excluded automatically). Also, “Did I get the results I expected? What could I have done differently?” Start with inquiry and build conversations based on the learner’s answers. “Is it the data that does not work? Or is the research question fundamentally wrong to begin with?” Collaborate with faculty to teach together, modelling your practices while demonstrating a specific tool. This could include thinking aloud as you make decisions so learners can self-correct assumptions. Also, be aware of your own expert bias so you can demonstrate how to clear obstacles. Ask learners to specifically define what is difficult for them during the process of instruction. Digital humanities tools are complex and are based on complex methodologies and research questions. By constructing opportunities for learners to self-question as they move from one task to another, they learn to self-assess their progress and adjust accordingly. There are several instructional design activities that promote metacognition: think-pair-share, one minute paper (“share a key concept learned” or “what comes next?”), and case studies.
  • There are specific strategies we can implement to help learners escape the recursive spiral of the liminal state they experience while managing complex digital projects: One of the most challenging aspects of teaching digital tools is forgetting what it is like to be a novice learner. Sometimes being a near-novice oneself helps you better prepare for the basic problems and frustrations learners are facing. But recognizing liminality is a reminder to you as a teacher that the learning process is not smooth, and it requires anticipating common difficulties and regularly checking in with learners to make sure you are not leaving them behind. When meeting with learners one-on-one, make sure to use your in-depth reference interview skills to engage in methods discussions. When a learner is in the liminal state, they are not always able to “see the forest for the trees.” Your directed questions will illuminate the problems they are having and the solutions they had not seen. Pay close attention to the digital humanities work and discussions happening on your own campus, as well as across the academic community. Working through the liminal space may require helping learners make connections to others facing similar problems. Also follow online discussions in order to point your learners to a wide variety of group learning opportunities, such as the active digital humanities community on Slack.9 When designing instructional opportunities, such as workshops and hackathons, pay particular attention to outreach strategies that may bring like-minded learners together, as well as diverse voices. For example, invite the scholar whose project was completed last year to add a more experienced voice to the conversation. By encouraging the formation of learning communities on your campus, you are creating safe spaces to help learners navigate the liminal state with others who may be on the other side of struggling with specific digital project issues. In designing instructional activities, guide learners through visualization exercises that help to identify “stuck” places. Making graphic representations of one’s thoughts (e.g., concept maps) can highlight areas that require clarification.
jatolbert

Open Stacks: Making DH Labor Visible ← dh+lib - 1 views

  • When infrastructure is understood as an irrational social formation, emotional labor tends to compensate for a perceived lack of resources. Scholars who are used to the invisibility of traditional library services, for instance, find that digital projects expose hierarchies and bureaucracies that they don’t want to negotiate or even think about, and the DH librarian or one of her colleagues steps in to run interference. Why can’t the dean of libraries just tell that department to create the metadata for my project? After all, they already create metadata for the library’s systems. Why can’t web programming be a service you provide to me like interlibrary loan? I thought the library was here to support my scholarship. Why can’t you maintain my website after I retire–exactly the way it looks and feels today, plus update it as technology changes? In some conversations, these questions may be rhetorical; it may take emotional labor to answer them, but doing so exposes the workings of the library’s infrastructure–its social stack.
    • jatolbert
       
      More conflation of DH with all digital scholarship
  • How does DH fit within this megastructure? According to some critics, DH is part of the problem of the neoliberal university because it privileges networked, collaborative scholarship over individual production. If creating a tool (hacking) or using computational methods has the same scholarly significance as writing a monograph, then individualized knowledge pursued for its own sake, the struggle at the heart of humanistic inquiry, is devalued. Yet writing a book always depended on invisible (gendered) labor in the academy. Word processing, library automation, and widespread digitization are just three examples of the support labor for traditional scholarly work that Bratton’s globalized technology Stack has absorbed. (And we know that the fruits of that labor are in no way distributed equitably.) What has changed in the neoliberal university is that the humanities scholar becomes one more node in a knowledge-producing system. Does it matter, then, whether DH work produces ideas or things, critics say, if all are absorbed into a totalizing system that elides the individual scholar’s privileged position? This is of course a vision of scholarship that is traditionally specific to the humanities; lab science and the performing arts, for example, have always been deeply collaborative (but with their own systems of privilege and credit).
  • DH librarians, whose highly collaborative work is dedicated to social justice and public engagement, may be one particularly vital community of practice for exposing the changing conditions that create knowledge.
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  • like the fish who asks “what is water?”–most scholars are unaware of the extent to which their work, professional interactions, and finances are imbricated with the global technology Stack.
    • jatolbert
       
      Also not sure that this is true.
  • Many DH programs, initiatives, and teams have arisen organically out of social connections rather than centralized planning.
  • the myth of scarcity
  • Scholars often presume that because libraries acquire, shelve, and preserve the print books that they write, that the same libraries will acquire, shelve (or host), and preserve digital projects.
    • jatolbert
       
      This is a natural assumption, and in fact is true in many cases.
  • digital scholarship
  • DH
  • digital scholarship
jatolbert

The Digital-Humanities Bust - The Chronicle of Higher Education - 0 views

  • To ask about the field is really to ask how or what DH knows, and what it allows us to know. The answer, it turns out, is not much. Let’s begin with the tension between promise and product. Any neophyte to digital-humanities literature notices its extravagant rhetoric of exuberance. The field may be "transforming long-established disciplines like history or literary criticism," according to a Stanford Literary Lab email likely unread or disregarded by a majority in those disciplines. Laura Mandell, director of the Initiative for Digital Humanities, Media, and Culture at Texas A&M University, promises to break "the book format" without explaining why one might want to — even as books, against all predictions, doggedly persist, filling the airplane-hanger-sized warehouses of Amazon.com.
  • A similar shortfall is evident when digital humanists turn to straight literary criticism. "Distant reading," a method of studying novels without reading them, uses computer scanning to search for "units that are much smaller or much larger than the text" (in Franco Moretti’s words) — tropes, at one end, genres or systems, at the other. One of the most intelligent examples of the technique is Richard Jean So and Andrew Piper’s 2016 Atlantic article, "How Has the MFA Changed the American Novel?" (based on their research for articles published in academic journals). The authors set out to quantify "how similar authors were across a range of literary aspects, including diction, style, theme, setting." But they never cite exactly what the computers were asked to quantify. In the real world of novels, after all, style, theme, and character are often achieved relationally — that is, without leaving a trace in words or phrases recognizable as patterns by a program.
  • Perhaps toward that end, So, an assistant professor of English at the University of Chicago, wrote an elaborate article in Critical Inquiry with Hoyt Long (also of Chicago) on the uses of machine learning and "literary pattern recognition" in the study of modernist haiku poetry. Here they actually do specify what they instructed programmers to look for, and what computers actually counted. But the explanation introduces new problems that somehow escape the authors. By their own admission, some of their interpretations derive from what they knew "in advance"; hence the findings do not need the data and, as a result, are somewhat pointless. After 30 pages of highly technical discussion, the payoff is to tell us that haikus have formal features different from other short poems. We already knew that.
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  • The outsized promises of big-data mining (which have been a fixture in big-figure grant proposals) seem curiously stuck at the level of confident assertion. In a 2011 New Left Review article, "Network Theory, Plot Analysis," Moretti gives us a promissory note that characterizes a lot of DH writing: "One day, after we add to these skeletons the layers of direction, weight and semantics, those richer images will perhaps make us see different genres — tragedies and comedies; picaresque, gothic, Bildungsroman … — as different shapes; ideally, they may even make visible the micro-patterns out of which these larger network shapes emerge." But what are the semantics of a shape when measured against the tragedy to which it corresponds? If "shape" is only a place-holder meant to allow for more-complex calculations of literary meaning (disburdened of their annoyingly human baggage), by what synesthetic principle do we reconvert it into its original, now reconfigured, genre-form? It is not simply that no answers are provided; it is that DH never asks the questions. And without them, how can Moretti’s "one day" ever arrive?
  • For all its resources, the digital humanities makes a rookie mistake: It confuses more information for more knowledge. DH doesn’t know why it thinks it knows what it does not know. And that is an odd place for a science to be.
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