- Jun 2023
How might humanists adopt STEM-oriented norms around data sharing
This seems to be a fairly packed sentence. Why should they?
the “Nelson memo” requires all publications and supporting data produced with federal funds be made freely and publicly available without an embargo period and points towards future mandates that would require all data generated with federal funds (not just data associated with publications) to be made public.
This is the first problem: what does it mean. If I write a book on Middlemarch, what is my data? My notes? The quotations I use (note the non-exemption of publications only).
- Jan 2023
3.1 Guest Lecture: Lauren Klein » Q&A on "What is Feminist Data Science?"<br /> https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15631
Theories of Power
Patricia Hill Collins' matrix of domination - no hierarchy, thus the matrix format
What are other broad theories of power? are there schools?
Relationship to Mary Parker Follett's work?
Bright, Liam Kofi, Daniel Malinsky, and Morgan Thompson. “Causally Interpreting Intersectionality Theory.” Philosophy of Science 83, no. 1 (January 2016): 60–81. https://doi.org/10.1086/684173.
about Bayesian modeling for intersectionality
Where is Foucault in all this? Klein may have references, as I've not got the context.
How do words index action? —Laura Klein
The power to shape discourse and choose words - relationship to soft power - linguistic memes
Color Conventions Project
20:15 Word embeddings as a method within her research
General result (outside of the proximal research) discussed: women are more likely to change language... references for this?
[[academic research skills]]: It's important to be aware of the current discussions within one's field. (LK)
36:36 quantitative imperialism is not the goal of humanities analytics, lived experiences are incredibly important as well. (DK)
- Michel Foucault
- Patricia Hill Collins
- Mary Parker Follett
- Foundations & Applications of Humanities Analytics
- feminist data science
- Lauren F. Klein
- power frameworks
- matrix of domination
- digital humanities
- Feb 2021
A fairly comprehensive list of problems and limitations that are often encountered with data as well as suggestions about who should be responsible for fixing them (from a journalistic perspective).
- May 2019
This is an interesting fact, usually when I think of visualization and data I go to the classic default charts and data. I'll have to keep this iin mind.
I really like this because I don't see it often and it actually does draw my eye to the data and capture my interest.
- Jun 2018
- Jun 2017
literature became data
Doesn't this obfuscate the process? Literature became digital. Digital enables a wide range of futther activity to take place on top of literature, including, perhaps, it's datafication.
- Jul 2016
Humanistic research takes place in a rich milieu that incorporates the cultural context of artifacts. Electronic text and models change the nature of scholarship in subtle and important ways, which have been discussed at great length since the humanities first began to contemplate the scholarly application of computing.
Methods for organizing information in the humanities follow from their research practices. Humanists fo not rely on subject indexing to locate material to the extent that the social sciences or sciences do. They are more likely to be searching for new interpretations that are not easily described in advance; the journey through texts, libraries, and archives often is the research.
Borgman is discussing here the difference in the way humanists handle data in comparison to the way that scientists and social scientist:
When generating their own data such as interviews or observations, human efforts to describe and represent data are comparable to that of scholars and other disciplines. Often humanists are working with materials already described by the originator or holder of the records, such as libraries, archives, government agencies, or other entities. Whether or not the desired content already is described as data, scholars need to explain its evidentiary value in your own words. That report often becomes part of the final product. While scholarly publications in all fields set data within a context, the context and interpretation are scholarship in the humanities.
Digital Humanities projects result in two general types of products. Digital libraries arise from scholarly collaborations and the initiatives of cultural heritage institutions to digitize their sources. These collections are popular for research and education. … The other general category of digital humanities products consist of assemblages of digitized cultural objects with associated analyses and interpretations. These are the equivalent of digital books in that they present an integrated research story, but they are much more, as they often include interactive components and direct links to the original sources on which the scholarship is based. … Projects that integrate digital records for widely scattered objects are a mix of a digital library and an assemblage.
In the humanities, it is difficult to separate artifacts from practices or publications from data.
Humanities scholars integrate and aggregate data from many sources. They need tools and services to analyze digital data, as others do the sciences and social sciences, but also tools that assist them interpretation and contemplation.
What seems a clear line between publications and data in the sciences and social sciences is a decidedly fuzzy one in the humanities. Publications and other documents are central sources of data to humanists. … Data sources for the humanities are innumerable. Almost any document, physical artifact, or record of human activity can be used to study culture. Humanities scholars value new approaches, and recognizing something as a source of data (e.g., high school yearbooks, cookbooks, or wear patterns in the floor of public places) can be an act of scholarship. Discovering heretofore unknown treasures buried in the world's archives is particularly newsworthy. … It is impossible to inventory, much less digitize, all the data that might be useful scholarship communities. Also distinctive about humanities data is their dispersion and separation from context. Cultural artifacts are bought and sold, looted in wars, and relocated to museums and private collections. International agreements on the repatriation of cultural objects now prevent many items from being exported, but items that were exported decades or centuries ago are unlikely to return to their original site. … Digitizing cultural records and artifacts make them more malleable and mutable, which creates interesting possibilities for analyzing, contextualizing, and recombining objects. Yet digitizing objects separates them from the origins, exacerbating humanists’ problems in maintaining the context. Removing text from its physical embodiment in a fixed object may delete features that are important to researchers, such as line and page breaks, fonts, illustrations, choices of paper, bindings, and marginalia. Scholars frequently would like to compare such features in multiple additions or copies.
Borgman on information artifacts and communities:
Artifacts in the humanities differ from those of the sciences and social sciences in several respects. Humanist use the largest array of information sources, and as a consequence, the station between documents and data is the least clear. They also have a greater number of audiences for the data and the products of the research. Whereas scientific findings usually must be translated for a general audience, humanities findings often are directly accessible and of immediate interest to the general public.
Borgman, Christine L. 2007. Scholarship in the Digital Age: Information, Infrastructure, and the Internet. Cambridge, Mass: MIT Press.
Borgman on the challenges facing the humanities in the age of Big Data:
Text and data mining offer similar Grand challenges in the humanities and social sciences. Gregory crane provide some answers to the question what do you do with a million books? Two obvious answers include the extraction of information about people, places, and events, and machine translation between languages. As digital libraries of books grow through scanning avert such as Google print, the open content Alliance, million books project, and comparable projects in Europe and China, and as more books are published in digital form technical advances in data description, and now it says, and verification are essential. These large collections differ from earlier, smaller after it's on several Dimensions. They are much larger in scale, the content is more heterogenous in topic and language, the granularity creases when individual words can be tagged and they were noisy then there well curated predecessors, and their audiences more diverse, reaching the general public in addition to the scholarly community. Computer scientists are working jointly with humanist, language, and other demands specialist to pars tax, extract named entities in places, I meant optical character recognition techniques counter and Advance the state of art of information retrieval.
Retrieval methods designed for small databases decline rapidly in effectiveness as collections grow...
This is an interesting point that is missed in the Distant reading controversies: its all very well to say that you prefer close reading, but close reading doesn't scale--or rather the methodologies used to decide what to close read were developed when big data didn't exist. How to you combine that when you can read everything. I.e. You close read Dickins because he's what survived the 19th C as being worth reading. But now, if we could recover everything from the 19th C how do you justify methodologically not looking more widely?
- humanities data
- digital scholarship
- borgman 2007
- Scholarly Communication
- citation practices
- digital libraries
- digital humanities
- disciplinary difference
- algorithmic criticism
- electronic texts
- distant reading
- Borgman 2007
Rockwell and Sinclair note that corporations are mining text including our email; as they say here:
more and more of our private textual correspondence is available for large-scale analysis and interpretation. We need to learn more about these methods to be able to think through the ethical, social, and political consequences. The humanities have traditions of engaging with issues of literacy, and big data should be not an exception. How to analyze interpret, and exploit big data are big problems for the humanities.
Initially, the digital humanities consisted of the curation and analysis of data that were born digital, and the digitisation and archiving projects that sought to render analogue texts and material objects into digital forms that could be organised and searched and be subjects to basic forms of overarching, automated or guided analysis, such as summary visualisations of content or connections between documents, people or places. Subsequently, its advocates have argued that the field has evolved to provide more sophisticated tools for handling, searching, linking, sharing and analysing data that seek to complement and augment existing humanities methods, and facilitate traditional forms of interpretation and theory building, rather than replacing traditional methods or providing an empiricist or positivistic approach to humanities scholarship.
summary of history of digital humanities
- Jun 2016
Data in Digital Scholarship 23
Data in digital scholarship