Chunhung Tai

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on the atlas — 13

highlights — 36

In ordinary language, people often treat emotion as the opposite of reason. Deliberative democrats, however, typically use “reason” in a rather different way. They regard arbitrary power, not emotion, as the opposite of reason. Emotion, then, is not at all contrary to reason. Critics who rely on ordinary language to claim that deliberative democrats denigrate emotion are likely to misconstrue how both reason and emotion are deployed. In fact, most deliberative democrats have always assigned emotion an indispensable role in their theories. That said, emotion’s role in deliberation needs more, a…
Impassioned Democracy: The Roles of Emotion in Deliberative Theory | American Political Science Review | Cambridge Core
These dynamics can distort the process of deliberation, lead to sub-optimal outcomes and may even destroy the spaces of deliberation themselves. More positively,these affective forces can be harnessed to further the aims of deliberative democracy. For these negative and positive reasons, it is necessary to understand the emotional dynamics of groups and to apply this understanding to the design of public spaces for deliberative democracy.
The emotional dynamics of deliberative democracy in: Policy & Politics Volume 29 Issue 3 (2001)
In Civil Passions, Sharon Krause argues that moral and political deliberation must incorporate passions, even as she insists on the value of impartiality.
Civil Passions
Hall argues that deliberation already inherently involves passion, a point that is especially important to recognize in order to deconstruct the dichotomy between reason and passion that plays a central role in reinforcing inequalities of gender, race, and class in the first place
Recognizing the Passion in Deliberation: Toward a More Democratic Theory of Deliberative Democracy | Hypatia | Cambridge Core
人類社會真的存在過透過語言的意義理解而得到理性整合的生活形式嗎？
溝通行動理論Theory of Communicative Action - 華文哲學百科
The law should protect the humans involved in overseeing algorithmic management systems.
Algorithms Need Management Training, Too | WIRED
worker representatives should have explicit rights to participate in decisions about how to use algorithmic management in the first place
Algorithms Need Management Training, Too | WIRED
establish collective data access rights
Algorithms Need Management Training, Too | WIRED
The law should establish extensive transparency rights—that is, rights of access for workers both to general information about the systems being used and to data about individual decisions affecting them.
Algorithms Need Management Training, Too | WIRED
Algorithmic management systems should only be acceptable if they are necessary for hiring or for carrying out the employment contract
Algorithms Need Management Training, Too | WIRED
These prohibitions would protect against the privacy violations and risks to fundamental rights
Algorithms Need Management Training, Too | WIRED
automated termination of the employment contract
Algorithms Need Management Training, Too | WIRED
prediction of—or persuasion against—the exercise of legal rights
Algorithms Need Management Training, Too | WIRED
processing any data for the purpose of emotional or psychological manipulation
Algorithms Need Management Training, Too | WIRED
third, ensure that human agency—especially but not only the agency of managers—is not lost at crucial points in workplace decision-making.
Algorithms Need Management Training, Too | WIRED
Second, limit the extent to which algorithmic management widens existing information asymmetries between employers and workers.
Algorithms Need Management Training, Too | WIRED
First, prevent the privacy violations that arise from unnecessarily extensive and intimate worker monitoring.
Algorithms Need Management Training, Too | WIRED
should also develop a directive specifically regulating algorithmic management in the context of traditional employment.
Algorithms Need Management Training, Too | WIRED
surveillance to work life
Algorithms Need Management Training, Too | WIRED
surveillance to work lif
Algorithms Need Management Training, Too | WIRED
“algorithmic management”:
Algorithms Need Management Training, Too | WIRED
In your .html submission, your answer to this exercise should be a single sentence providing a clickable hyperlink URL for the public repository you create and manipulate (e.g. “My public repository can be found here).
Assignment #2 (summative)
to transform this data frame and demonstrate the use of at least the following three components: A piping operator: either %>% or |> A call to the group_by() and summarise() functions A transformation of a numeric variable after having called summarise()
Assignment #1 (formative)
interests of its commercial partners and advertisers, rather than rendering the social, political and economic interests of Black women and girls visible
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
cultural hegemony within Google’s results on racialized and gendered identities
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
Critical Discourse Analysis
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
want to know in what ways does Google reinforce hegemonic narratives
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
what do the results mean in historical and social contexts?
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
what kinds of results do Google’s search engine provide about Black girls when keyword searching
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
I am interested in knowing two things
Google Search: Hyper-visibility as a Means of Rendering Black Women and Girls Invisible – InVisible Culture
Basic data types in R can be divided into the following types: numeric - (10.5, 55, 787) integer - (1L, 55L, 100L, where the letter "L" declares this as an integer) complex - (9 + 3i, where "i" is the imaginary part) character (a.k.a. string) - ("k", "R is exciting", "FALSE", "11.5") logical (a.k.a. boolean) - (TRUE or FALSE)
R Data Types
Reserved words cannot be used as variables (TRUE, FALSE, NULL, if...)
R Variable Names (Identifiers)
If it starts with period(.), it cannot be followed by a digit.
R Variable Names (Identifiers)
must start with a letter
R Variable Names (Identifiers)
shift + command/ctrl + N
R pre-sessional
Remainder (modulus) %%
R pre-sessional