
by Jessica
I’m loving the Carl Sagan book “The Varieties of the Scientific Experience: A Personal View of the Search for God”, starting at the back as Jeremy suggested. It’s interesting to read about his work in the context of the work I do with First Nations on environmental and wildlife management issues (and reading a lot about Inuit recently too). With that in mind, I re-read part of my friend Claude Peloquin’s master’s thesis, which discusses how East James Bay Crees cope with change and variability in the goose hunt. I came across this paragraph describing how Crees perceive the larger scale changes happening to their environment affecting the Canada goose migration patterns and, as a result, their success hunting Canada geese. I thought it was, in some ways, a neat contrast to Sagan’s scientific approach:
“Whereas there is no clear consensus on what the key factors underlying these changes are, there are many suggestions as to what they may or may not be. The collective understanding of this ‘web of factors’ suggests that resource users rely on a sound understanding and recognition of complexity, for which they constantly look into a wide range of signs and criteria indicators. They notice unusual events and exceptions, but they do not seek to precisely measure the trends of observed change. Their understanding does not require absolute proof of causal links. Instead these observations are understood within a relational context, in which correlations and synergies among factors are attributed varying degrees of plausibility. Causality itself remains uncertain.”
When you think about it, this perspective has strengths, particularly in its context (subsistence hunting). I am not an expert on science by any means, but the way I understand the scientific method to work, you cannot input an outrageously large numbers of variables and pull out of it a reliable account of relationships and correlation among them (didn’t our masters supervisors tell us this? Oh but we didn’t listen!). For the sake of clarity or certainty, you would look to provide a definitive account of the relationships between a small number of variables and work from there, repeating the exercise until you had a whole picture (as whole as it gets anyway). But that kind of knowledge would be less useful to Cree hunters, living in an ever changing environment where yesterday’s variables may no longer be applicable. Or rather, in the traditional subsistence lifestyle, the time it would take to figure those connections out with the certainty provided by the scientific method would detract too much from other activities required for subsistence. So an adaptive, relational understanding of the environment is required to pursue traditional subsistence activities rather than a “certain”, quantifiable understanding[i].
I guess what I’m driving at is that the importance or significance of a body of knowledge, of a way of knowing is relative to its context. Because of this, I am with Sagan 100% in his skepticism, atheism and deep respect for science (defining science as the application of the scientific method and the body of resulting findings), but I also feel that that shouldn’t detract from my equal respect for local and traditional knowledges, in fact much to the contrary. Science is one way of knowing useful for some contexts, there are others that are equally valid and vital in other contexts (or maybe even in the same contexts?). All have their strengths. We should not be discriminating among them, nor trying to validate the findings of the one by the standards of the other, but working together to build a strong mutual understanding and to expand the base of our collective knowledge.
Unfortunately, in the research I’ve done recently, it seems that mutual understanding is not of interest to some scientists (nor maybe to some traditional knowledge holders, though the former are heard more than the latter so it’s hard to tell). I’ve been reading a lot about the issue of polar bear management in northern Canada recently, for example, and have been deeply disappointed by the ease with which some leading biologists in the field summarily dismiss the validity of traditional knowledges (as politically correctly as possible, of course, which does little to take the sting out of the insult). The biologists make the case that polar bears are being deprived of their natural food sources because of climate change, and are spending more time in communities looking to feed. Inuit community members, on the contrary, believe that polar bear populations are generally increasing and that this is the cause of their more frequent presence in communities. Moreover, they are legitimately concerned about the overabundance of polar bears in towns and the risk they pose to young children. As a result Nunavut has won the right to increase its polar bear quota, even though the biologists’ research shows a strained and decreasing polar bear population ill equipped to sustain a larger harvest. My argument is this: even if the biologists are correct, and I must stress that in the context of the Canadian north there is no consensus on that issue, it is not enough to dismiss and override the evidence provided by traditional knowledge or the means by which that evidence is collected (which seems to be what some biologists are striving for), as this knowledge is equally valid. There needs to be a greater effort made by scientists working in indigenous contexts especially, but elsewhere as well, to understand the basis and methodologies of other ways of knowing. There needs to be a conscious effort to respectfully engage with those other ways of knowing, in a way that need not compromise the quality of scientific research, but in fact may ultimately enrich it. Based on Carl Sagan’s perspective at least, I don’t find this approach to be contrary to the principles of science, but rather perfectly aligned with its most central objective – to increase our knowledge of the world.
[i] Jeremy, who is an actual scientist, tells me that there are predictive statistical models that function much as the Cree knowledge system seems to, that is, they use a wide variety of variables to try to predict outcomes, rather than try to determine causal factors. Hmmm, food for thought…
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