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Humanities computing: A plural community of method

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Title: Humanities computing: A plural community of method


1
Humanities computingA plural community of method
  • Dr Willard McCarty
  • Reader in Humanities Computing
  • Kings College London

2
  • Communities are to be distinguished by the
    style in which they are imagined. Benedict
    Anderson, Imagined Communities (rev edn, 1991)
    4.

Collective imagining takes shape through
discursive engagement among interlocutors in
contexts of varying structure, scope, and
formality. Discourse functions in this context
not as a vehicle for transmitting information and
beliefs but as a constitutive force. Robert
Asen, Imagining in the Public Sphere,
Philosophy and Rhetoric 35.4 (2002) 349
3
What I will talk about
  • Humanities computing (the question)
    Humanities Computing (a response)
  • The problem of method
  • Anxieties about method in the humanities
  • A quasi-Marxist lullaby
  • Implications and opportunities

4
1. Humanities Computing?
  • The problem of method
  • Anxieties about method
  • A quasi-Marxist lullaby
  • Implications and opportunities

5
The question
  • What happens when computing crosses paths with
    the humanities? What does our shared experience
    tell us?
  • What sort of answer do we get when we dismiss the
    unfulfilled (and perhaps unfulfillable) promises,
    considering only what we now have and can do?
  • What can we learn from the failures of computing
    to automate the humanities?
  • What happens if we try not to close the gap
    between the humanities and computing but to
    develop and exploit it?

6
My response
7
The book
  • Modelling on the central analytic purpose of
    computing for scholarship, namely developing
    recursive digital representations using them to
    illuminate the un(computationally)sayable
  • Genre on the design of digital scholarly genres
    the library for them
  • Discipline on disciplinarity and the
    ethnographic relation of humanities computing to
    the disciplines in its purview
  • Computer science on CS as a disciplinary
    amalgam, its origins and relation to humanities
    computing
  • Agenda on what is to be done in the field.

8
Broader worries
  • Professional. Looking toward computing from the
    disciplines, there are genuine worries the fate
    of conventional publishing the differential
    effects on disciplines, e.g. in relation to
    institutional priorities the attractiveness of
    computing to the best brightest as computer
    science becomes an ever broader church etc.
  • Disciplinary. Far more important is a stylistic
    shift from an argumentative individualistic to
    a procedural formulaic epistemology in the
    humanities from a focus on individual cultural
    artefacts to a preoccupation with common
    regularities.

9
2. The problem of method
  • Humanities computing
  • Anxieties about method
  • A quasi-Marxist lullaby
  • Implications and opportunities

10
Method
  • Method (Gk. µeta, above, at a higher level
    ?d??, way L. methodus, mode of proceeding).
  • 1. A procedure for attaining an object.
    2.a. A way of doing anything, esp. according to
    a defined and regular plan. 3.a. A special
    form of procedure or characteristic set of
    procedures employed(more or less systematically)
    in an intellectual discipline or field of study
    as a mode of investigation and inquiry, or of
    teaching and exposition.
  • Methodology (method ?????, study or
    discipline).1. Branch of knowledge dealing with
    method or with the methods of a particular
    discipline2. A dissertation on method3. A
    body of methods used in a discipline.
  • Note how we tend to read these definitions, what
    we tend to assume our context of implementation.

11
A prescient philosophers claim
  • This is the age of methods, and the university
    that is to be the exponent of the living
    condition of the human mind, must be the
    university of methods. Charles Sanders
    Peirce, Introductory Lecture on the Study of
    Logic (1882)

12
Strong reason for paying attention
  • Excellence is an art won by training and
    habituation. We do not act rightly because we
    have virtue or excellence, but we rather have
    those because we have acted rightly. We are what
    we repeatedly do. Excellence, then, is not an act
    but a habit.
  • Will Durant, Story of Philosophy (rev edn,
    1967) 61, summarizing an argument in
    Aristotle, Nicomachean Ethics

13
Method before methodology
  • Intelligent practice is not a step-child of
    theory. Gilbert Ryle, Knowing how and
    knowing that, The Concept of Mind
    (2000/1949) 27-31
  • Experimentation has a life of its own. Ian
    Hacking, Representing and intervening (1983) 150

14
The question of method how do we know what we
know?
  • Insofar as any epistemological question about
    the knowledge of humanists has been posed, it has
    centered on the objects of that knowledge But
    what about an epistemology based on the practices
    of humanists, on what they do?
  • Lorraine Daston, Whither Critical
    Inquiry? Critical Inquiry 30 (2004) 363

15
3. Anxieties about method
  • Humanities computing
  • The problem of method
  • A quasi-Marxist lullaby
  • Implications and opportunities

16
Method in the humanities?
  • Good scholarship may be methodical, but
    traditionally, in the humanities as we inherit
    them, methods serve as means to an end beyond
    method.
  • The conventional goal is not to formulate common
    methods from a study of artefacts but, using this
    or that method as need be, to illuminate
    particular artifacts.

17
Historical studies vs the sciences
  • Historical research does not endeavor to grasp
    the concrete phenomenon as an instance of a
    universal rule Its ideal is rather to understand
    the phenomenon itself in its unique and
    historical concreteness. However much
    experiential universals are involved, the aim is
    not to confirm and extend these universalized
    experiences in order to obtain knowledge of a law
    how men, peoples, states evolve but to
    understand how this man, this people or this
    state is what it has become or, more generally,
    how it happened that it is so.
  • Hans-Georg Gadamer, The Significance of the
    Humanist Tradition, in Truth and Method (2nd
    edn, 2000/1960) 4f

18
The nomological vs the idiographic
  • Thus Wilhelm Windelbands distinction of the
    nomothetic or law-seeking sciences from the
    idiographic or particularizing humanities (1894).
  • Ernst Nagel explains the sciences seek to
    establish abstract general laws for indefinitely
    repeatable events and processes while the
    humanities aim to understand the unique and
    nonrecurrent (1961 547).

19
Literary studies vs the sciences
  • Science begins with the world we have to live
    in, accepting its data and trying to explain its
    laws. From there, it moves towards the
    imagination it becomes a mental construct, a
    model of a possible way of interpreting
    experience. Art, on the other hand, begins with
    the world we construct, not with the world we
    see. It starts with the imagination, and then
    works towards ordinary experience that is, it
    tries to make itself as convincing and
    recognizable as it can. (1963 6)
  • Carlo Ginzburg The tendency to obliterate the
    individual traits of an object is directly
    proportional to the emotional distance of the
    observer. (1989/1986 12)

20
mathematics
poetics
21
So whats new?
  • What disturbs this (un)comfortable
    compartmentalization into a two-cultured world? A
    very good, unanswered historical question but
    we know that computing is involved!
  • How is it involved? What essential difference
    does it make?

22
Two differences
  • Ease of manipulation. Whatever is in software is
    easily changed in fact thats the whole
    point.Is it possible that software is not like
    anything else, that it is meant to be discarded
    that the whole point is to always see it as soap
    bubble? Alan Perlis, Epigram 74 (1982)
  • Radically schematic representation. Whatever is
    put into software must be made absolutely
    consistent and completely explicit.

23
Very big consequences
  • A trade-off on the one hand, a radically crude
    analytic medium for representing cultural
    artefacts on the other hand, a powerful tool for
    manipulating their representations.
  • A large gap between what one somehow knows and
    what one can describe computationally.
  • A means of exploring the epistemological question
    (how we know what we know).

24
The anxiety of mechanization
  • The fear that because method focuses on common
    patterns and procedures that can be applied
    anywhere at any time, the humanities will be
    denatured.
  • One response the question is first how we know
    what we somehow know, second whether what we
    think we know is justified true belief. The
    enquiry begins by privileging knowledge arrived
    at by means we may not be able to specify. Then
    we probe that knowledge.
  • Another response broadly speaking, the alphabet
    is digital and the book is a machine to think
    with (I. A. Richards, Principles of Literary
    Criticism, p. 1). The humanities are founded on
    the ability to read book-machines. Now we need to
    learn how to read other sorts of machines.

25
4. A quasi-Marxist lullaby
  • Humanities computing
  • The problem of method
  • Anxieties about method
  • Implications and opportunities

26
A lullaby
  • that soon computing will become simply how
    everything is done, so that humanities computing
    (whatever it is) will vanish, leaving the
    scholarly proletariat to rule

(or snooze).
27
Its assumptions examined
  • All scholarly work (outside the head) will soon
    be done by means of computing or significantly
    involve computing
  • There is (or soon will be) one stable, relatively
    unchanging set of tools by which these things are
    done and so
  • Ordinary academics will not need to devote
    attention to computing, or if they do, they will
    have the time and inclination for the job.

28
Assumption that
  • All scholarly work (outside the head) will soon
    be done by means of computing or significantly
    involve computing
  • Quite possibly if not wholly, then mostly.

29
Assumption that
  • There is (or soon will be) one stable, relatively
    unchanging set of tools by which these things are
    done
  • There is no evidence whatever for this
    millennarian assertion in fact we have strong
    theoretical reasons to think otherwise. The
    trajectory of development for computing would
    appear to be toward a stable basis for making and
    altering tools (at the level of work with which
    we are directly engaged). The gap between
    computational representation and human knowledge
    may be in motion but is in principle never to be
    closed. (See Gödels proof of truth beyond
    proof.)

30
Assumption that
  • Ordinary academics will not need to devote
    attention to computing, or if they do, they will
    have the time and inclination for the job.
  • Attention will always have to be paid to the
    tools, and imaginatively from the tools to what
    might be done with them, to a degree
    unsupportable by ordinary non-specialists.
    Furthermore, humanities computing provides an
    extra-disciplinary scholarly basis from which to
    see to the interchange of methods between the
    disciplines. It provides for a genuine
    interdisciplinarity that informs current debate
    about how we organize ourselves. (As the term is
    ordinarily used, interdisciplinarity means
    little more than poaching.)

31
What about computer science?
  • Difficulty of the question CS is a complex
    amalgam of concerns the implications of calling
    it a science are unclear.
  • Two simple statements about itNewell, Perlis
    and Simon CS is the study of computers and the
    varied, complex, rich phenomena surrounding
    them (Science 157, 1967 1373f).
  • Denning The fundamental question underlying
    all computer science is what can be automated?
    (American Scientist 73, 1985 16).
  • Humanities computing uses the products of
    computer science to focus on what cannot be
    automated (though cross-overs are both possible
    and most welcome).
  • Hence humanities computer science, as at
    Cologne the highly technical work done e.g. at
    Kings College London the close relationship
    between humanities computing and extra-academic
    research.

32
5. Implications opportunities
  • Humanities computing
  • The problem of method
  • Anxieties about method
  • A quasi-Marxist lullaby

33
4. Implications and opportunities
  • brought by institutional recognition of
    humanities computing as a semi-autonomous,
    extra-disciplinary, departmentalized practice
  • For (more or less) traditional academics
  • For institutions
  • For the work

34
Implications for traditional academics
  • Liberty to focus on the motivating problem
  • Collaborative interaction with methodologically
    sophisticated colleagues (who have no
    commitments, theoretical or otherwise, to ones
    field)
  • Contact through such colleagues with parallel
    work in various other related disciplines
  • An altogether better result!

35
Implications for institutions
  • A centre for interdepartmental coordination of
    parallel work, leading to the establishment of
    standards and much less needlessly duplicated
    effort
  • Contact with the international community of those
    working in the digital humanities
  • With the right division of labour, a significant
    source of grant-funds (though we must beware of
    the cash-cow problem).

36
Implications for the work
  • The methodological commons and all that it can
    bring
  • The internalization of scientific methods, hence
    a more intimate interrelation of the humanities
    and the sciences.

37
The methodological commons
38
The internalization of scientific methods
39
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