ClusterOS Diagnostic Profile

Stirling Clackmannanshire Aquaculture

Stirling, United Kingdom Extraction-Narrative 53 evidence items

Stirling Clackmannanshire Aquaculture runs on 53 evidence items (Stirling Clackmannanshire Aquaculture UKRI grants: 10 grants, £4m total, 1 di). The diagnostic resolves a Extraction-Narrative configuration at HIGH confidence.

9
Active stalls
2
Stacks identified
53
Evidence items
6
Leverage timeline (mo)
S1
Re-proving Instead of Narrowing
medium
S2
Coordinating Instead of Deciding
low
S3
Forgiving Instead of Redesigning
indeterminate
S4
Extracting Without Reinvesting
medium
S5
Mediating Instead of Coupling
low
Stabilising Around Incumbents
high
S7
Narrating Instead of Testing
medium
S8
Scaling Activity Instead of Throughput
medium
S9
Waiting for Permission
indeterminate
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.

Stack 02 S5 · S7

Intermediaries produce narrative about their facilitation role; narrative legitimises intermediary existence and funding; uncertainty about direct coupling absorbed by narrative rather than demonstration.

"If SAIC or Scottish Government required all publicly funded projects to report separately: (a) value generated (e.g., revenue, IP, products), (b) value retained regionally (e.g., local employment, local procurement, regional IP ownership), and (c) value extracted (difference between a and b), it might make extraction visible as distinct from success, potentially reducing the system's ability to absorb uncertainty about extraction via success...

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.

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.

Stirling Clackmannanshire Aquaculture
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