evolution of editing rule sets and multiple article class inheritance

evolution of editing rule sets and multiple article class inheritance

Having a number of Wikipedia trees or forks might turn out to allow evolution of a more fit set of rules for compiling the content. The forks that choose the most effective rules for editing will attract the best content, and others will merge good articles increasingly from the site that has better editing. It seems probable that different classes of article will benefit from different rule sets, and the fork that produces the best in class will be able to prove they have the best rule set for that classification from evidence that others merge from their articles in this area more than the other way round. Clearly the original Wikipedia rule set has proved effective at creating a good encyclopedia from scratch. As is mentioned elsewhere there are problem areas slowing progress from good to excellent, particularly with topics attracting vandalism, political agendas and self advertising.

One way of classifying an article will be based on its newness, other ways will include frequency of edits and another will be its subject area. I think we have a multiple class inheritance system here.

Might it lead to better results for those working on different knowledge classifications (e.g. physics, economics, sci-fi, fantasy literature, maths etc.) to be enabled to evolve their own editing rule sets, inheriting from other classes based on newness and edit frequency ? A possible rule might include that an article which has stabilised (based on quantitative content change over a number of edits will reject edits of more than a particular size from a single contributor until reviewed by some previous editors of the same article.