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Instead, we agree with Rossel who argues that we should make "our assumptions as explicit as possible, and part of the weak signal identification process itself (i.e. taking into account the different usages we have of weak signals, according to our diverse roles and contextual interests)" [11].
The first part of the results, describing the issues that puzzled us, is an attempt to make our assumptions explicit.
Robert M. Kaplan We need to make our assumptions clear.
However, we have tried to make our assumptions transparent and performed sensitivity analyses to show the impact of our assumptions.
Building and refining the programme theory helped to make our assumptions clear and to better take them into account in the data collection and analysis phase.
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However, by making our assumptions explicit and allowing evaluation of the inherent biases, we attempt to provide a transparent, replicable method for identifying species around which to structure site-based conservation (landscape species).
By making our assumptions transparent, and testing the results with patients and scholars we hoped to improve both theory and practice.
In particular, given the rapid increase in carbonaria frequencies in the first half of the 20th century followed by the rapid decrease observed since, it seems likely that the sign of s switched from positive to negative at some point, making our assumption of time-constant s since 1953 implausible.
For this purpose, we make our basic assumptions as follows.
Let's make our first assumption that the average snap that is sent to more than one person is sent to four people*, based on our anecdotal usage.
To make our work feasible, the following assumptions are made: 1.
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