Prompt captured (plain)

Need clearer language in Part 1.5:

Causor should read plainly as "that which causes" (functional definition).
Causors should be described as functional operators that produce state change.
Language should avoid ambiguity and make intuitive sense immediately.

Also requested:

better definition framing of causal density,
explicit attention to labeling/separability (what distinguishes X from non-X),
recognition that better labeling may improve prediction,
consider possible dualism between causal nature and naming/labeling layer.

Candidate wording direction for Part 1.5

Functional definition candidate

A causor is the minimal functional unit that can produce a state change in a system — i.e., that which causes.

Operator framing candidate

Causors can be treated as causal operators over state: each causor specifies a transformation tendency from one local state configuration to another.

Plain-language bridge sentence

If a component cannot, even in principle, make a difference to what happens next, it is not functioning as a causor in this model.

Distinguish structural causal density (potential causal pathways) from active causal density (pathways currently firing).
Separate internal density from boundary-crossing density.
Make auto-causal density explicitly loop-level and emergent (already partly in 1.5; tighten wording).

Labeling + separability hypothesis (to research)

Hypothesis:

Better labels (cleaner boundaries between entity and non-entity, and between operator-types) improve predictive performance because they reduce representational ambiguity in causal attribution.

Potential formal handle:

boundary quality as an information criterion,
compare prediction error under coarse vs refined entity/causor labels,
connect to causal emergence / effective information style metrics.

Open questions to answer

Is “causor” best retained, or should subtitle include “causal operator” for clarity?
How to define causal density so it is measurable across physical/institutional/cognitive domains?
What is the minimal boundary/separability condition for an entity in Epimechanics?
How does label quality quantitatively affect prediction quality?

Contribution to system

This idea likely affects:

Part 1.5 core definitions,
glossary term precision,
auto-causal density formalism,
later sections on meta-entities and measurement protocols.

Prompt captured (plain)

Candidate wording direction for Part 1.5

Functional definition candidate

Operator framing candidate

Plain-language bridge sentence

Causal density refinement directions

Labeling + separability hypothesis (to research)

Open questions to answer

Contribution to system

Brainstorm — Causor as Functional 'That-Which-Causes'

Contribute to Epiphysics