Comments by Rick Davies
on:
Rights, Culture And Contested
Modernities.
A paper presented by David Marsden, Tuesday 1st April 2003 at
INTRAC's 5th International Evaluation Conference: Measurement, Management, and
Accountability?, KFK Conference Centre, The Netherlands. Details available at
http://www.intrac.org/Intrac/5thEvaluationConference_en.html
These are based on notes taken during the presentation, which I then
responded to. Given the breadth of David's paper I have not tried to respond to
every issue, just those that concerned me the most, at the time
- The post-modern perspective. This is where David comes from
- How can it help, is the question most people will be asking. The
relativism resonates but also worries some people
- It is possible to develop some form of "practical
post-modernism". The "Most Significant Changes" approach (www.mande.co.uk/docs/ccdb.htm) has no single predefined
definition of what is desirable, and the process of selecting and defining what
futures are most desirable is situated within an explicit power context, but
one which nevertheless gives the less powerful significant capacity to define
the range of choices
- Culture: everyone recognises its importance as emphasised by
David, I think. The question again is how do we respond to culture when
designing and managing M&E systems.
- My suggestions relate to two possible responses
- Seeing all development activities in terms of networks of
actors, not just linear sequences connecting our actions to the lives of
poor people, along a chain of intermediaries.
- This is one way of making the context of our
activities more visible, by locating ourselves in relationships to other actors
and their relationships
- See my Ad Lib presentation on Wednesday where this idea
is expanded (www.mande.co.uk/docs/adlib.htm)
.
- See also my paper on representing theories of change at
www.mande.co.uk/docs/RDseville2.doc which includes a
discussion of networks.
- Making much more use of ranking forms of measurement. This is
the simplest form of measurement available. Yet it is under utilised.
- Anyone can make ranking judgements. And people do make
ranking judgements every day, when they decide to do x rather than y
- Pair comparisons of ranked entities can pull out criteria
of concern on an inductive basis, grounded in people's experience to
date.
- In doing so what we are doing here is making existing
informal and tacit knowledge more formal (documented) and explicit. A lot of
cultural knowledge exists in informal and tacit knowledge. Making it explicit
and formal enables more conscious and public choices about what aspects of that
cultural knowledge are of most value in the circumstances, and in the future
under consideration.
- Ranking methods acknowledge the complex nature of human
judgements. That is that judgements can be made using a number of criteria of
concern at the same time. Not just one single measure.
- Combinations of ranking judgements (e.g. ranked priority
of objectives versus ranked achievement of objectives) can produce informative
representations of both trends, and outliers from trends, which are useful for
both accountability and learning needs respectively.
- David's paper mentions a number of dichotomies, such as
mechanistic versus organic. These are undoubtedly useful for rhetorical
purposes, helping to empathise points of difference. Robert Chambers has made a
lot of use of opposites as a way of illustrating what he thinks is the way we
should go.
- The downside is that these dichotomies can end up limiting our
choices about how we are do things. Linear, rational, mechanistic methods
become a bad thing, and we now have to do (presumably) the opposite. We just
swap sides in a debate but end up having no more net room to move than
before.
- The alternative is for us to try to think about both ends
of the spectrum and ask where and when we should use which approach. For
example, where and when top-down versus bottom-up systems are most useful. [But
we did not manage to get that far in the conference. Instead we seemed to have
got stuck on top-down is bad, bottom-up is good]
- Despite having developed a very inductive and participative
monitoring system (Most Significant Changes) I also think there is a big place
for deductive and rationally developed "Theory of Change" approaches to
M&E. [These were conspicuously absent from discussions throughout the
workshop, but they can be very useful]. I like to use both inductive and
deductive approaches
- Another example of the bad effects dichotomous thinking of is the
too casual dismissal of before/after and with/without comparisons in the
evaluation of social development programmes because they are seen to be part of
a rationalist scientific approach. And then no thought to what else can be done
in place. There is an alternative, especially in large programmes. That is to
make comparisons of internal differences in responses to programme
interventions by different groups assisted by development programmes. SCF
(US)'s work on positive deviance within child nutrition programmes in Vietnam
is probably the most well publicised example of this approach.
- The dismissal of the importance of measurement. This came
across in David's paper [and subsequently in much of the discussion during the
conference]
- We need to remind ourselves that people do make judgements, all
the time, every day. The question is whether we want to make those judgements
visible, and open to questioning. If so, then ranking measures to start with,
then other more demanding forms of measurement, can be very appropriate. But
the reverse, of lots of measurement activities, without explicit and
accountable interpretation of their meaning can be equally problematic.
- Reference was made to the idea of "communities of practice", an
idea that links back to the idea of a networked perspective on development
activities. One which resonates with my own views. The downside is that we may
simply be re-labelling our enduring myths and hopes about the world. That there
is a cohesive and mutually supportive community somewhere out. If not in third
world villages, then maybe amongst us as development workers or scholars. This
is where the usefulness of measurement and empirical research comes into play.
So far the research on academic networks shows that within "communities of
practice" there are highly unequal patterns of interaction between
participants, with some actors having large numbers of links and many others
having only a few. The same structure is found on a more macro level, within
the structure of the World Wide Web (Barabasi, 2002). This knowledge then
presents us with a choice as to how we should respond
- Scaling up and replication were also given a bad press. Not
seen as desirable things or certainly as expectations to be sceptical about.
- This should not be surprising to hear from an anthropologist,
whose professional remit is in effect to celebrate the local and unique, and
diversity in general. And there is a lot to be said for that perspective in a
world that is seeing the rapid extinction of species and cultures on a scale
never seen before (at least since the Jurassic period).
- But it does provoke some big questions about what aided
development is all about.
- Is it an art, where every achievement is (ideally)
uniquely valuable and almost by definition non-replicable.
- Is it a craft, where all we can expect at best is that
what apprentices will learn are various rules of thumb and homilies that will
give general guidance The rest must be learned informally and tacitly by
prolonged exposure to the work of others who have had more experience?
- Is it a science, where valuable achievements are
precisely those that are replicable, but which also add something new to the
sum total of human knowledge. Here explicitly documenting how things are
done (and not just their outcomes) is a core part of the process. Here
there is a premium on disembodied knowledge, because it must be abstract enough
to be able to be transmitted and used in different contexts.
- Trust was mentioned by David (and others during the conference)
as the alternative to demanding M&E systems. O'Neils 2002 lecture on this
topic was mentioned. This makes sense if the focus of M&E systems is on
accountability. But it makes no sense if we expect development projects to
generate some generalisable knowledge that can be re-applied elsewhere.
What we need to do instead is develop M&E systems that produce usable
knowledge, that is picked up and re-applied by others elsewhere. In doing
so they will help make the original investment in the first project much more
cost effective, and give us a more solid basis for advocating increased
investment in aided development. It is not evidence of impact we need, but
replicable knowledge of how to re-create such impacts.
(These notes were written up on April 11th, 2003)
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