Contextual reputation is how the connection function gets the trust that collaboration needs without letting trust harden into a caste system. Networks run on trust — reliable reputation, transparent history, fair recourse, verifiable claims, privacy-respecting identity all lower the cost of working with strangers — but this is one step away from universal scoring, so the model draws the line:
Enough trust to collaborate, without a universal social-credit hierarchy.
The safeguard is to keep reputation contextual. A participant may be highly reliable in one domain and inexperienced in another, so strong technical reputation must not convert into superior political standing, and a single generalized score of a person’s worth is exactly what the function refuses to build. It is the reputation-side application of functional standing: authority and credibility earned in one relationship do not generalize into authority across all of them. A universal reputation score would also be a signal distortion, collapsing many different situated judgments into one number that governs everything. See The Pathologies of Connection.