It is important to note that this document is a general 'guide to FAIRness of data', not a “specification

These are the people—most of whom have advanced degrees in some area of humanistic study—who have turned to building, hacking, and coding as part of their normal research activity

eople who publish in online journals undoubtedly experience more substantial resistance, but the belief that online articles don’t really count seems more and more like the quaint prejudice of age than a substantive critique.

We envision a 2017 in which the geo-computing revolution, now underway, has intersected with other computational and societal trends to effect major changes in the way humanist scholars work, publish and teach.

(and what we have left out)

We explore the development of urban coalitions by focusing on mayoral primary elections in2001 and 2005 in the City of Los Angeles, a place that has been transformed by immigration

. Even as minority groups gain great numbers, they usually require thesupport of other groups to obtain the political re

assume the reference is to more populous capital of France

when a text mentions Paris, does the writer mean Paris, Texas, USA or Paris, France?

First, action/adventuremovies earn statistically significantly less than comedies, documentaries, dramas andmusic/event films when Australians are compared to Americans.

This study is made possible by the availability of new, globally scaled, digital sources ofinformation about the cinema.

Graphical 17 . l he Dig1ta A proaches to t p .. Human1t1es Johanna Drucker . c t. on visualization and user . ns of imorma t fu d . . have adopted convent to . 1 . cal premises are n amen-The digital humamtl;r:m disciplines whose _ep1s~em? ~!1of this permeate every aspect interface that come . ·c methods. The 1mpltcat10 cl1es in/to/from/for the d · h humamst1 h. cal approa tally at od s wit l Henge of addressing grap I . . f visualization and inter-of digital work. _Theh c1a engage in a critical descnpt1on ol ze the epistemological . . uJres t at we . hat we ana y d . humamt1es reg . . .tical perspect1ve, t . h h the issues in a aptmg c from a humamstJC-cn 1 nt that we thmk t roug iace . h · deve opme , . Umptions built mto t e1r h envision alternatives. ass . . and t at we h c r the humamt1es, t ese 10 . d Interface Visualization an · ts with great . . 1 humanities proiec . been integrated into d1g1ta e ual increase in attennoD Visualization cools have h ot been accompanied by an q ts built on cools bor rapidity, but this proce~_s ~::s of the use of graphical arg~:i;tal humanities on to the intellectual i_m~ ta s Meanwhile, the dependence o_ terface, rendered rowed from other d1sop me . hical (and now tactil~) use~ _m comment. Thirty y basic operations of. t~1e. grapasses without substantive critical wser-enabled displa~ invisible by its fam1lt:1:~~e than twenty years after ~h\~1:~ions between g~P after WISYWYG.' an . , bout time to reflect on. t e of interpretation . tworked materials, its a_ . d the humanistJC aspects d. g the rheto. ne the humanmes an . used Understan m e ap approaches to . 6 r which they are bemg

f the use of graphical arg~:i;tal humanities on to the intellectual i_m~ ta s

To what extent, however, can this handful of individuals be taken to stand for the overall balance of international vs. domestically-focused Dutch print production partnerships at different points in time?

Computational network analysis offers an alternative framework for examining networks, affording insight into the multiple scales and velocities of organizational changes among print designers, plate cutters, and publishers, both within and between regional communities.

You can see here that Mr Appleton and Mr John Adams were connected through both being a member of one group, while Mr John Adams and Mr Samuel Adams shared memberships in two of our seven groups. Mr Ash, meanwhile, was not connected through organization membership to any of the first four men on our list. The rest of the table stretches out in both directions.

It seems an unlikely task.

Note that θ̂(t)jk i

58,625 biographical

in spite of his ability to read and write in two languages–because of his status as a slave–was not a person to whom Jefferson ever wrote, or from whom Jefferson received letters

Last year at the MLA, Alan Liu voiced a call to reinscribe cultural criticism at the center of digital humanities work, and so this panel represents an attempt to do just that—to think critically about digital structures and historical ones, about the resources and labor involved in the creation of our tools and archives, and about the historical labor that these tools and archives help to expose.

How does one account for the power relations at work in the relationships between the enslaved men and women who committed their narratives to paper, and the group of (mostly white) reformers who edited and published their works?

ions about the constitution of the field of women’s history as they answer. We aim for this article to start a conversa-tion about women’s history as revealed through a large-scale quantitative analysis that provides har

egional histories does women’s history most frequently appear; when do publications on women’s history increase or decrease in numbers as well as when, chronologically, women’s historians most focus their efforts. The “sometimes why” is a more complicated venture. At various points we forward possible explanations, grounded in histori

gray litera

treating the works themselves as unceremonious “buckets of words,” and providing seductive but obscure results in the forms of easily interpreted (and manipulated) “topics.”

One of the main reasons for the lack of study on opinions is the fact that there was little opinionated text available before the World Wide Web.

we conclude the chapter by saying that all the sentiment analysis tasks are very challenging.

a natural language processing task, and natural language processing has no easy problems. Another reason may be due to our popular ways of doing research. We probably relied too much on machine learning algorithms. Some of the most effective machine learning algorithms, e.g., support vector machines and conditional random fields, produce no human understandable results such that although they may achieve improved accuracy, we know little about how and why apart from some superficial knowledge gained in the manual feature engineering process.

In other words, the method of plotting and inspecting the trend may be applied only to verify hypotheses stipulated earlier by traditional diachronic linguistics

Our study corroborated the hypothesis that epochs of substantial stylistic drift are followed by periods of stagnation, rather than forming purely linear trends.

n the last decades, quantitative linguistics (following exact and social sciences) has developed a considerable number of statistic methods providing an insight into measurable phenomena of natural language.

The data are taken from the 1992 British Household Panel Study (BHPS), which includes data on 7897 individuals.

JOURNAL OF ECOI ELSEVIER Journal of Health Economics 17 (1998) 85-104 The effects of low-pay and unemployment on psychological well-being: a logistic regression approach I. Theodossiou * Department of Economics, Unit, ersity of Aberdeen, Edward Wright Building, Dunbar Street, Old Aberdeen, AB24 3QY, UK Received 1 June 1995; accepted I March 1997 Abstract The paper explores the relationship between unemployment and mental distress.

We show that Simpson’s paradox is most likely to occur wheninferences are drawn across different levels of explanation (e.g., from populations tosubgroups, or subgroups to individuals

he direction of an association at the population-level may be reversed within thesubgroups comprising that population—a striking observation called Simpson’s paradox.

The breakdown into‘immigrants’and‘Dubliners’is rather crude;‘immigrant’refers simply to inmates bornoutside the union.

Thisarticle provides a case study of the North Dublin Union, the unitresponsible for administering the Irish poor law in the northern half ofDublin city and some adjacent parishes.

ncluded data on returns to prison in its reports on recidivism of people released in 1994 and 2005. The 2018 reporton the 2005

ew does not have access to individual-level FBI criminal history records and therefore is unable to collect information on rearrests

The BJS national report on state prison recidivism released in May 2018 presents nine years of data on people released from 30 states in 2005, but it includes no information on prisoners released since then.

But a lack of data has complicated efforts to understand the aggregate effects of myriad federal, state, and local efforts to reduce reoffending.

s in this issue employ data on physical height to analyze the impact of long-te

do now. Research at the microecono

He was not offcn:d tlu: <..·:dcu• lator pac.J. lt was hdd a foot from his eyc:s

FOUNDATION 17 .. His name is no1hing.

ight ask why nuisance crimes are tracked at all. The answer is that the link between antisocial behavior and c

This is no surprise when Black women are not employed in any significant numbers at Google. Not only are African Americans underemployed at Google, Facebook, Snapchat, and other popular technology companies as com-puter programmers, but jobs that could employ the expertise of people who understand the ramifications of racist and sexist stereotyping and misrepresentation and that require undergraduate and advanced de-70 I SEARCHING FOR BLACK GIRLS grees in ethnic, Black/ African American, women and gender, Ameri-can Indian, or Asian American studies are nonexistent

different view on the text which can be used to control other views. Be careful, however, that you don'tdepend only on the stitch-ups. They are semi-automated rearrangements that should be questioned just likeany other interpretation. Their very existence depends on a wide range of human choices, from the encodingof the digital text and the programming of the analytic tool to the parameters selected by the user and waysthat results are read. Text analysis and visualization data are taken, not given, as Johanna Drucker reminds us,in her poetics of computer-mediated humanistic inquiry (2011).Figure 19.7The Voyant Tools standard reading skin, showing Mary Shelley's Frankenstein for analysis.AAnnaallyyssiiss aanndd VViissuuaalliizzaattiioonnBoth print and digital text is represented visually for reading, and typography is about the graphicalrepresentation of characters in a particular medium.21 In this simple sense,

significant inequality in the availability of digital texts, one that has a profound effect on the kindsof work that scholars are able to pursue

Thinking of text-mining programs as objects of cultural criticism could open up an interchange between digital scholarship and the critical study of computers that is productive in both directions.

but scholars who apply text mining to literary and cultural history have largely skirted the question of how the technologies they use might be influenced by the military and commercial contexts from which they emerged

The main empirical contribution of this paper is to show that wage differentials forsame-sex behaving men cannot be explained by differences in worker characteristicsbetween different-sex behaving and same-sex behaving workers. I use better data,robustness checks, and estimation strategies than in the existing literature to arriveat these results.

better data

Yet the women who appear in the archi-val fragments on which this book draws offer a crucial glimpse into hves lived under the domination of slavery-lives that were just as important as those of more visible and literate people in this eriod, who most consistently e an abundance of documentacy materia

“pronounced awakening of the public conscience”

The visibility of the lynch victim was matched by his or her invisibility in the records of the nation-state

critical visualizationin 2008 to describe prac-tices that counteract “the technological view” of visualization, a viewwhich emphasizes technique and efficiency while eliding historical,social and rhetorical concerns [35]

By identifying these assumptionsand associating them with the core principals of what we termfeministdata visualization, we hope to expand the conversation about whatvisualization for – and with – the humanities could become

Once again, I remind you that I know nothing of Mr Revere, or his conversations, or his habits or beliefs, his writings (if he has any) or his personal life. All I know is this bit of metadata, based on membership in some organizations.

And, of course, we can also do that for the links between the people, using our 254x254 “Person by Person” table. Here is what that looks like.

what do the archival fragments describing enslaved women alternately uncover and re-fuse to reveal about their racial, gendered, and sexual experiences as enslaved

universal housing voucher program

“Imagine if we didn’t know how many Americans were incarcerated each year or how many dropped out of high school, got divorced, or lost their job. If we don’t know how big a problem something is, where it is happening, or how many families are touched by it, then how can we begin the critical work of finding solutions?

Exploitation. Now, there’s a word that has been scrubbed out of the poverty debate.

which identity is no longer simply expressed but rather compelled from its subjects, extracted involuntarily such that they may be dragged into legibility to technology, to capital, and to power.

These sites want to know what you are so they can best figure out what they can sell you” (116).

theworld appears to us as an endless and unstructured collection ofimages, texts, and other data records, it is only appropriate that we willbe moved to model it as a database. But it is also appropriate that wewould want to develop a poetics, aesthetics, and ethics of th

traditionally dominated humanculture - narrative?

Understanding technological racialization as a particular form of al-gorithmic oppression allows us to use it as an important framework in which to critique the discourse of the Internet as a democratic landscape and to deploy alternative thinking about the practices instantiated within commercial web search.

are not responsible for the design of their algorithms, then who is?

From a mathematical point of view, however, trust is hard to quantify.

The policing itself spawns new data, which justifies more policing. And our prisons fill up with hundreds of thousands of people

if they can't, they shouldn't be operating there

don't think it is much different than basic security, safety, common sense, and financial literacy required in the real world.