Tuesday, 16 December 2025

Readiness and the Shape of Relation: 5 Relational Modelling Practice

From diagnosis to accountable action

Modelling as Semiotic Practice

In relational ontology, modelling is not a mirror of reality — it is a semiotic practice. Each model is a series of cuts and construals, actualising relational potential and preserving horizon space. Modelling becomes an act of stewardship, not a metaphysical claim.


Checking Readiness Explicitly

A key tool for relationally responsible modelling is readiness assessment:

  • Inclination check: Are the encoded tendencies of the model compatible with the system’s relational capacity?

  • Ability check: Can the system realistically realise the potentials the model intends to actualise?

  • Readiness threshold: Establish the point where horizon exhaustion signals a legitimate stopping condition.

These checks make over-closure, divergence, and brittleness diagnosable and preventable.


Respecting Horizon Limits

  • Recognise that horizons are finite and structured.

  • Avoid forcing models to extrapolate beyond available relational room.

  • Treat horizon exhaustion as a signal of epistemic responsibility, not failure or anomaly.

Practical strategies include:

  • Limiting predictive depth where ability is constrained.

  • Avoiding formal over-extension in mathematics, physics, or computational simulations.

  • Maintaining relational space in social and semiotic models to allow meaningful variation.


Shifting Construals Responsibly

  • When horizon limits are reached, shift the construal, rather than push the same cut further.

  • Examples:

    • In physics: reframe the model at singularity instead of insisting on infinite continuation.

    • In language: reinterpret ambiguous or exhausted grammatical structures rather than forcing ill-formed derivations.

    • In complex systems: adopt adaptive or scenario-based perspectives rather than rigid extrapolation.

Shifting construal preserves differentiability and maintains systemic readiness.


Practical Payoffs

  • Avoids formal divergence in mathematics, physics, and computation.

  • Prevents collapse or rigidity in language, semiotic, and social systems.

  • Turns “hard problems” (singularities, collapse, brittleness) into diagnostic signals rather than ontological crises.

  • Reclaims modelling as accountable semiotic practice, anchored in relational capacity.


Forward Gesture

With readiness explicitly foregrounded, relational modelling becomes a tool for maintaining flexibility, coherence, and relational room. The final post of the series will synthesise the conceptual and practical insights, consolidating readiness, horizons, and relational capacity as a unifying lens across domains.

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