Can you also restore the labels on the arrows

This redrawn diagram restores the functional labels to the arrows, clarifying exactly how each Phase of the inquiry interacts with a specific Aspect (trade-off) depending on whether you are operating under the logic of the Order Pole or the Complexity Pole.

The Interplay of Systemic Inquiry with Functional Labels

graph TD
     Phase Cycle (Dark Grey/Thick)
    P1 ==>|Recursive Cycle| P2
    P2 ==>|Recursive Cycle| P3
    P3 ==>|Recursive Cycle| P4
    P4 ==>|Recursive Cycle| P5
    P5 ==>|Recursive Cycle| P1

     Complexity Pole Mapping (Blue)
    P1 -.->|Determines| A2
    P2 -.->|Defines| B2
    P3 -.->|Maps| C2
    P3 -.->|Explains| D2
    P5 -.->|Navigates| E2
    P4 -.->|Judges| F2

     Phase Cycle
    linkStyle 0,1,2,3,4 stroke:#444,stroke-width:4px;
     Complexity Pole Links (Blue)
    linkStyle 11,12,13,14,15,16 stroke:#4d79ff,stroke-width:2px;

    %% Styling Nodes
    style Phases fill:#fff,stroke:#333,stroke-width:4px
    style Order_Pole fill:#fff5f5,stroke:#ff4d4d,stroke-dasharray: 5 5
    style Complexity_Pole fill:#f5f8ff,stroke:#4d79ff,stroke-dasharray: 5 5

Glossary of the Interplay Labels

Determines (Phase 1 → Observer): Your initial Stance (e.g., Objectivity-in-Parenthesis) determines whether you view the system as an objective reality (Ontic) or a mental construct (Epistemic)[1][2].

Defines (Phase 2 → Structure): The way you draw your Boundary (Framing) defines whether the internal structure is treated as a decomposable Mechanism or a web of Constraints[3].

Maps (Phase 3 → Variety): During Diagnosis, you map the “Ashby Space” to decide if you should filter out data (Attenuation) or boost your capacity to handle environmental variety (Absorption)[5].

Explains (Phase 3 → Causality): Your Diagnosis provides the logic that explains behavior, choosing between a Linear trigger (A causes B) or a Recursive loop where the system acts on itself[8].

Judges (Phase 4 → Stance/Purpose): Handling Power involves judging whether the system should be designed to meet a specific goal (Teleological/Ought) or observed in its natural development (Evolutionary/Is)[11].

Navigates (Phase 5 → Uncertainty): In the Learning phase, you navigate the “White Space” of uncertainty, aiming for either a mathematically “best” state (Optimization) or an adaptive state of Skillful Resilience[14][15].

Does this labeled view help you see which “choice point” is most relevant to the particular challenge you are currently mapping out?