I'm having a bit of trouble understanding. Ultimately, our criteria are criteria of excellence. So, basically, we look at the foundation of the research, we note the innovative parts, their importance and all that.
I can answer the question in two ways.
On the one hand, we've done extensive multivariate analyses with the data you're talking about. What all our evaluations show is that we are still having some difficulty in ensuring that women are rated as well as men. Clearly, you are right to say that there is still some bias in the evaluations.
On the other hand, even if it does exist, that bias isn't significant. I'm sure you'd be interested to know that there is no bias in the processing of francophone applications. My point is that we have to be careful when studying the data and ensure that we're comparing apples to apples and oranges to oranges. In our evaluations, when we conduct multivariate rather than simple analyses, it appears that there is still a bias that puts women at a disadvantage, which we are trying to correct.
That said, do you know what the biggest priority is, Mr. Blanchette‑Joncas?