Scaling limits are studied for continuous opinion dynamic systems, also known as gossip models. 
In such models, agents update their vector-valued opinion to a convex combination of their current value and that of another agent. 
The weight of such a convex combination may depend on the agents themselves as well as on their current opinions. 
It is shown that, in the limit of large agent population size, the empirical opinion density concentrates,  at an exponential probability rate, around the solution of a measure-valued ordinary differential equation describing the mean-field dynamics. Properties of such solution are analyzed and conditions for persistence of disagreement in opinions are found.  
