Definition: The likelihood that a given interaction pattern will occur in natural language, or that it will be predicted or accepted by an LLM given a context.
Sources:
Corpus statistics (frequency counts)
LLM softmax prediction distributions
Cross-linguistic and cultural priors (e.g., how common an idiom is across languages)
Purpose:
To retain a grounded metric of statistical plausibility, while acknowledging that some meaningful expressions (e.g., poetry or irony) may have low occurrence probability yet high interpretive value.
4. Interaction Weight (W)
Definition: The semantic valence or strength of the contribution made by each element in the interaction, quantified within a bounded scale.
Range:
-2: Strongly inhibitive (disrupts or negates meaning)
-1: Weakly inhibitive
0: Neutral or redundant
+1: Supportive
+2: Strongly synergistic (amplifies or catalyzes emergent meaning)
Purpose:
To enable qualitative weighting of linguistic elements in shaping final meaning. For instance, in "crocodile tears", the word "crocodile" may carry strong metaphorical weight (+2), while "tears" carries literal grounding (+1).
5. Interaction Stability (S)
Definition: A measure of how stable or volatile the resulting semantic construct is across contexts, time, and audiences.
Metrics:
Semantic resonance: Cross-context coherence of interpretation
Cultural stability: Whether an expression holds meaning across groups
Temporal persistence: Stability over time (e.g., idioms that persist across generations)
Purpose:
To reflect the fragility or robustness of meaning under different linguistic and cognitive conditions. Metaphors may be highly unstable (S ), while technical definitions tend to be stable (S ).
6. Interaction Output (O)
Definition: The emergent semantic interpretation of the interaction, which may include literal, metaphoric, ironic, or aesthetic meaning.
Categories:
Literal: Surface-level denotative meaning
Metaphoric: Figurative, transpositional meaning
Aesthetic: Evokes emotion, style, or poetic quality
Irony / Sarcasm: Meaning emerges through contradiction or negation
Nonsense / Ambiguous: Output is unstable or interpretable in multiple ways
Purpose:
To classify and predict the semantic function of a word cluster based on interaction variables. Output becomes the "final layer" of meaning, and can feed back into further interpretation loops.
