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Reducing the social: thinking differently about smallscale research

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Title: Reducing the social: thinking differently about smallscale research


1
Reducing the social thinking differently about
small-scale research
Tamsin Haggis University of Stirling
2
Small scale research
  • What are the issues?
  • Whats complexity theory?
  • How might complexity help us to think differently?

3
iPED website (2006)
  • Pedagogic Research is recognised internationally
    as an important and exciting growth area for
    higher education. It is, however, an area that
    poses a challenge to all those working in higher
    education since it forces a shift in our
    understandings of academic identity

Inquiring Pedagogies Research Network http//www.c
oventry.ac.uk/researchnet/d/393
4
And a lot more besides.
  • Cultural assumptions
  • Assumptions about knowledge
  • Research procedures, habits of analysis
  • Academic hierarchies
  • Historical approaches to the study of teaching
    and learning in HE

5
Some challenges in (conceptualising) small-scale
research
cross-sectional abstraction
  • The boundary of the case
  • Legitimation/claims
  • links to other studies/generalisation
  • Relationship to theory
  • Using quotes (authenticity)
  • Role of the researcher

theme
narratives
6
Some responses
  • Re-define notions of reliability and validity
  • trustworthiness and authenticity
  • Introduce elements seen to be missing
  • Power, gender, class
  • Undermine/question basic premises
    (post-structuralists)
  • validity is the researchers mask of authority
    (Lather, 1993)
  • Practical action
  • Research based on specific value positions. Eg.
    feminist, emancipatory, participative approaches

7
Other issues science?
  • Knowledge generated by researchers and then
    applied (Geelan, 2003)
  • Bassey big research and practitioner
    research (2003)
  • Big research
  • aims to produce general statements about some
    aspect of learning (big ideas)
  • Practitioner research
  • gives practitioners insights into what they do
  • (tests big ideas in local settings)

8
More questions/problems
  • Many current conceptualisations avoid certain
    problems
  • we dont want to be scientific anyway
    (power/class/ gender is more important)
  • research funders only want one kind of research

9
More questions/problems
  • Power v. relationship between small scale studies
  • How to theorise context specificity?
  • New framings new means of blinkering and
    stereotyping
  • Eg gender, ethnic minority

10
Questions about underpinning ontologies
  • Encouraging teachers to conduct classroom
    research to find local solutions to global
    problems has been a widely discussed issue in
    educational sciences
  • Renda, 2006 (iPed conference 2006)

11
Problems conceptualising and researching
difference, specificity and context
  • The conclusions reached in this case study may
    not be generalisable, at least in detail, to
    other institutions. Even so, it is argued that
    lessons can still be drawn which can illuminate
    how we think about policy development and
    implementation. (Newton, 2003)
  • Two stories should be read as indicative of the
    experience of all ten volunteers, but space
    precludes covering them all (Bamber, 2002)
  • Although we are duly circumspect about
    generalising from case study analysis, a number
    of issues are raised that have wider
    implications, and might be offered as fuzzy
    generalisations (Bassey, 1999)

12
Something to unearth.?
13
The shapes of classical geometry are lines and
planes, circles and spheres, triangles and cones.
They represent a powerful abstraction of reality,
and they inspired a powerful philosophy of
Platonic harmony. Euclid made of them a geometry
that lasted two millennia, the only geometry
still that most people ever learn. Artists found
ideal beauty in them. Ptolemaic astronomers build
a theory of universe out of them. (Gleik,198
794)
14
The shapes of classical geometry are lines and
planes, circles and spheres, triangles and cones.
They represent a powerful abstraction of reality,
and they inspired a powerful philosophy of
Platonic harmony. Euclid made of them a geometry
that lasted two millennia, the only geometry
still that most people ever learn. Artists found
ideal beauty in them. Ptolemaic astronomers build
a theory of universe out of them. But for
understanding complexity, they turn out to be the
wrong kind of abstraction. (Gleik,198794)
15
Clouds are not spheres, Mandelbrot is fond of
saying. Mountains are not cones. Lightening does
not travel in a straight line. The new geometry
mirrors a universe that is rough, not rounded,
scabrous, not smooth. It is a geometry of the
pitted, pocked, and broken up, the twisted,
tangled, and intertwined. (Gleik,198794)
16
Problems conceptualising and researching
difference, specificity and context
  • The conclusions reached in this case study may
    not be generalisable, at least in detail, to
    other institutions. Even so, it is argued that
    lessons can still be drawn which can illuminate
    how we think about policy development and
    implementation. (Newton, 2003)
  • Two stories should be read as indicative of the
    experience of all ten volunteers, but space
    precludes covering them all (Bamber, 2002)
  • Although we are duly circumspect about
    generalising from case study analysis, a number
    of issues are raised that have wider
    implications, and might be offered as fuzzy
    generalisations (Bassey, 1999)

17
Prevailing epistemologies similarity categories,
key factors and deep structure
cross-sectional abstraction
theme
narratives
18
What gets left out?
  • What isnt amenable to description in terms of
    variables and categories
  • What isnt amenable to some form of counting or
    measurement
  • Differences between things
  • Original contexts
  • 3 Whats not deemed to be key
  • 4 Time and process
  • 5 The impossibility of discerning causality

cross-sectional abstraction
theme
narratives
19
1 2 Eradicating the difference of local
contexts
  • Less-easily disciplined situational factors may
    nonetheless be crucial
  • In making something functional
  • In making something meaningful
  • Not trying to get a complete picture but
    reducing differently
  • Problems with the conceptualisation of context

20
Conceptualising context
Adults in a post-92 university
Each adult has their own set of contexts
Theme relating to adults in a post-92 university
21
Does the theme relate to adults in this
particular group, or to characteristics of
this type of adult?
Adults in a post-92 university
  • Usually presented as referring to individuals
  • These adults are all motivated by career
    prospects rather than
  • This university setting, in the context of
    current political and cultural agendas,
    encourages these adults to talk about learning in
    terms of career prospects'


22
Understanding individual experience?
23
3 The search for key aspects of phenomena
  • a desire for centre in the constitution of
    structure
  • Derrida in Thomas, 2002

24
4 Time and process
  • Processes constitute the world of human
    experience from nature to cognition to social
    reality. Yet our philosophical and scientific
    theories of nature and experience have
    traditionally prioritised concepts for static
    objects and structures.
  • Seibt, 2003

25
Complexity a different way of looking
26
Complexity
  • Three types of scientific enquiry
  • Problems involving very limited numbers of
    variables (Newtonian mechanics)
  • Problems involving millions or billions of
    variables can only be approached by the use of
    statistical mechanics and probability theory
    (Disorganised complexity)
  • An area in the middle a substantial number of
    variables, but with one crucial difference

27
Organised complexity
  • Much more important than the mere number of
    variables is the fact that these variables are
    all interrelated these problems, as contrasted
    with the disorganised situations with which
    statisticians can cope, show the essential
    feature of organisation. We will therefore refer
    to this group of problems as those of organised
    complexity
  • Weaver, in Johnston,
  • 200147 (italics in original)

28
Dynamic systems and emergence
  • multiple systems, embedded in each other
  • systems are open
  • materially, energetically
  • far from equilibrium
  • continual flow of energy and matter
  • each has a large number of components
  • interacting at a local level (only), in response
    to the environment
  • interactions are non-linear
  • Multiple, recursive feedback loops
  • multiple interactions through time result in the
    periodic emergence of particular forms of order
  • which benefit the survival of the system
  • what emerges cannot be tracked to antecedents
  • no central, or linear, determining causative
    mechanism

29
  • (Dynamic systems) solve problems by drawing on
    masses of relatively stupid elements, rather than
    a single, intelligent executive branch. In
    these systems agents residing on one scale start
    producing behaviour that lies one scale above
    them ants create colonies urbanites create
    neighbourhoods simple pattern-recognition
    software learns how to recommend new books
  • Johnson, 200118

30
  • Cities have no central planning commissions that
    solve the problem of purchasing and distributing
    supplies How do these cities avoid devastating
    swings between shortage and glut, year after
    year, decade after decade? The mystery deepens
    when we observe the kaleidoscopic nature of large
    cities. Buyers, sellers, administrators, streets,
    bridges and buildings are always changing, so
    that a citys coherence is somehow imposed on a
    perpetual flux of people and structures. Like the
    standing wave in front of a rock in a fast-moving
    stream, a city is a pattern in time.
  • Holland, 1998, in Johnson, 200127

31
An unfathomable determinism, or no determinism
at all?..
  • Untrackable interactions through time
  • Too many, too fast multiple feedback loops
  • No underpinning structures
  • No gene-like causes, only constraints
  • Emergence a free act of creativity
    spontaneously arises as a result of the
    interactions (has adaptive function)

32
A dynamic system has
  • A particular starting point in time
  • (sensitive dependence on initial conditions)
  • A particular history of interactions through time
  • Resulting in emergences specific to that system
  • Multiple presents at any one point in time
  • Embedded within other dynamic systems
  • A dynamic coherence which is in continuous
    formation
  • An identity, a sense of itself
  • It is, in some important ways, always unique
  • The system transforms larger system interaction
    patterns

33
Three types of context
  • The dynamic system which is the focus of the
    analysis
  • Selected group(s) or institution(s) which the
    focus system is embedded within
  • 3. Selected larger group(s) or culture(s) which
    contain the previous two systems

34
System trajectories
Context 1
Context 2
Context 3
35
Conceptualising difference, specificity and
context
  • Complexity theory challenges the nomothetic
    programme of universally applicable knowledge at
    its very heart it asserts that knowledge must
    be contextual
  • Byrne, 2005

36
A complexity framing for research
  • Position
  • Role
  • Conditions, interactions and effects within
    specific systems
  • Causality
  • Processes through time
  • Multiple levels of scale simultaneously
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