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Anna Tsing’s (2005) metaphor of friction is a useful analytical space from which to
approach these questions of knowledge and power. As we have seen, the idea of friction
complicates distinctions of local/global without abandoning issues of power. It rejects a
simple explanation that global knowledge is imposed onto a local situation. Positioning
scientific fishery knowledge as an everyday practice allows us to seek out the ‘sticky
materiality of practical encounters’ (Tsing 2005, p. 1), acknowledging its context of
production while accounting for its processes of universalisation into institutions, principles
and textbooks.
In contexts that reinforce temporal and scalar binaries, the tonnara and fisher
knowledge are precariously positioned. To explain this outcome I forward the idea of
precarious knowledge as a way to connect knowledge to issues of power – the power of
expert knowledge and the power for knowledge made possible in a Foucauldian sense. By
precarious knowledge, I mean precarious in relation to specific knowledge practices and
institutions of conserving tuna, and then also precarious in relation to a wider sustainability
discourse of culture as a fourth pillar. Precarious knowledge is knowledge that holds an
uncertain position within environmental conflicts because it is not valued, or it poses a threat
to knowledge categories (such as scientific knowledge compared with traditional knowledge)
by disrupting them. It disrupts the traditional/modern and local/global divides upon which the
terms traditional and local knowledge are based. This is not a subjective precariousness rather
a structural and institutional form of precarity, wherein certain knowledge is valued over
other knowledge in the creation of policy, assessment of stock or classification of culture.
This is similar to the relationship between Deleuze and Guattari’s (1987) notion of “nomad
science” and “State science”. Within this relationship, State science functions by limiting and
regulating thought (Adkins pp. 199). State science favours reproducibility and predictability
(Adkins pp.197-198). Within this relationship nomad science can be inhibited by the
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