The phrase "between two interpretations" is correct and can be used in written English.
It is typically used to describe a situation where there are two different possible meanings or understandings of something. Example: The painting was open to interpretation, and the artist intentionally left it open to be interpreted in different ways. However, between two interpretations, the most popular one was that the painting represented the struggle between good and evil.
Perhaps Leibniz was genuinely undecided between two interpretations of the pre-established harmony and two conceptions of the reality of body, sometimes being a committed idealism and sometimes a dualist.
Remark 2: In the case of the count quantifiers few and many, there is evidence that each quantifier is really ambiguous between two interpretations, the absolute one and the proportional one (Partee 1989).
Bistability is a powerful paradigm to investigate perception and its underlying neural mechanisms, a phenomenon during which perception alternates between two interpretations of a single, constant stimulus [1].
These indicate the relative likelihood of a hypothesised difference/association (hypothesis 1) versus no difference/association (hypothesis 2); and allow one to distinguish between two interpretations of a null result: there is evidence for the null-hypothesis or the data are insensitive in distinguishing an effect.
It's tempting to agree with Sellers that what really lies between these two interpretations is "values".
The difference between the two interpretations has substantial practical consequences both for the credit reporting industry and for consumers.
But Iran and the US have since released separate factsheets on the key parameters of that agreement, prompting debates in Tehran and Washington about the differences between the two interpretations.
The freewheeling collaboration of the German painter/musician/installation artist Kai Althoff and Nick Z., a former graffiti artist from Brooklyn, splits the difference between these two interpretations.
There are difficulties in adjudicating between these two interpretations experimentally.
The natural way to try to choose between these two interpretations is to see which of them fits best with the logic of the passage as a whole.
The posterior probability of guilt and information gain plots do not allow us to distinguish between these two interpretations of the data: Both discrimination and response bias contribute to each curve.
