So we have the same argument coming both from surveying methodology and neural net training, just using different language.
I could see a "-2/+2" scale dealing with the calibration issue well. It wouldn't be too difficult to say "-2=hate, -1=dislike, 0=neutral, +1=like, +2=love" but that doesn't mean that I think it's worth replacing Hugo and site-selection voting scheme in the first place.
![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png)
timeasmymeasure
Re: Missing the point
Date: 2007-01-23 10:00 pm (UTC)I could see a "-2/+2" scale dealing with the calibration issue well. It wouldn't be too difficult to say "-2=hate, -1=dislike, 0=neutral, +1=like, +2=love" but that doesn't mean that I think it's worth replacing Hugo and site-selection voting scheme in the first place.