ClusterOS Diagnostic Profile

Greater Glasgow Critical Technologies

Name: Greater Glasgow Critical Technologies — ClusterOS Diagnostic Profile
Creator: ClusterOS

Glasgow, United Kingdom Extraction-Narrative 91 evidence items

Greater Glasgow Critical Technologies runs on 91 evidence items (Greater Glasgow Critical Technologies UKRI grants: 171 grants, £327m total, 3). The diagnostic resolves a Extraction-Narrative configuration at MEDIUM confidence.

Active stalls

Stacks identified

Evidence items

Leverage timeline (mo)

Active stalls · Behavioural substitution patterns

Re-proving Instead of Narrowing

low

Coordinating Instead of Deciding

low

Forgiving Instead of Redesigning

indeterminate

Extracting Without Reinvesting

medium

Mediating Instead of Coupling

low

—

Stabilising Around Incumbents

medium

Narrating Instead of Testing

low

Scaling Activity Instead of Throughput

medium

Waiting for Permission

indeterminate

Stall radar · Intensity across all 9 types

Stabilisation stacks · Why single interventions fail

Stack 01 S4 · S7

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.

Stage 5 · Leverage hypothesis

"If public reporting on cluster performance (e.g., by UKRI, Scottish Enterprise, or Glasgow City Innovation District) separated extraction metrics (capital flow destinations, talent flow destinations, IP licensing geography) from success metrics (grant totals, spin-off counts, partnership announcements), it might reduce the system's ability to absorb uncertainty about extraction by making the difference between ecosystem contribution and ecosystem retention...

6-12 months

Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.

Structural resemblances · Clusters with similar stall configurations

Aberdeen Digital

Aberdeen · GB

Extraction-Narrative

1 shared stack · 83 evidence · Tier 1 - Robust

Extraction-Narrative: Value extraction events generate narrative about ecosystem success; narrative legitimises continued extraction by framing it as ecosystem contribution; uncertainty about whether extraction is harmful ...

Absorbs: Success, Uncertainty

Dhaka Garment Tech & FinTech

Dhaka · BD

Growing

1 shared stack · 80 evidence · P2

Narrative–Partnership Stabilisation: Narrating behavior (Narrating: international partnerships 2018-2024 with Visa, Mastercard, H&M Foundation, Microsoft, Ant Financial) co-occurs with external capital extraction (Extracting: internation...

Absorbs: Opportunity (partnerships and capital signal growth potential), Uncertainty (international validation reduces perceived risk), Pressure (external resources address immediate funding gaps)

Jakarta FinTech

Jakarta · ID

Growing

1 shared stack · 65 evidence · P2

Capital Mobilisation–Narrative Coupling: Extracting without reinvesting (Extracting: VC funding flows) plausibly sustains narrating instead of testing (Narrating: valuation announcements) by providing capital that enables announcement-worthy...

Absorbs: Pressure (growth expectations), Opportunity (capital availability), Uncertainty (market validation)

What happens next

This is a structural profile, not a full diagnostic.

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.