ClusterOS Diagnostic Profile
Greater Manchester Advanced Materials
Greater Manchester Advanced Materials runs on 84 evidence items (Greater Manchester Advanced Materials UKRI grants: 1065 grants, £1259m total,). The diagnostic resolves a Extraction-Narrative configuration at MEDIUM confidence.
Value extraction events generate narrative about ecosystem success; narrative legitimises continued extraction by framing it as ecosystem contribution; uncertainty about whether extraction is harmful absorbed by the success narrative.
Intermediaries produce narrative about their facilitation role; narrative legitimises intermediary existence and funding; uncertainty about direct coupling absorbed by narrative rather than demonstration.
"If one reporting framework (e.g., UKRI impact assessment, GMCA economic dashboard) separated spin-off creation counts from spin-off location/employment/procurement data, it might reduce the system's ability to absorb uncertainty signals about extraction by making the difference between value creation and value retention...
Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.
A full ClusterOS diagnostic adds actor questionnaire data, working sessions, and anchor interviews — producing higher-confidence stall identification, board-ready stack analysis, and leverage hypotheses calibrated to your specific context.