Affectedness Hierarchy #
@cite{beavers-2010} @cite{dowty-1991}
The affectedness hierarchy is a projection of @cite{dowty-1991}'s P-Patient entailments onto a four-level total order measuring the strength of truth conditions about change in the affected argument.
As a projection of EntailmentProfile #
profileToDegree projects the 10-Boolean EntailmentProfile onto
AffectednessDegree, retaining only the P-Patient features relevant to
truth-conditional strength. The projection depends on exactly 4 of the
10 features: changeOfState, incrementalTheme, causallyAffected,
and stationary. All 5 P-Agent features and dependentExistence are
irrelevant (profileToDegree_depends_only_on_patient).
This is one of three canonical projections of EntailmentProfile:
AgentivityNode.fromEntailmentProfile→ agentivity lattice (@cite{grimm-2011})profileToDegree→ affectedness hierarchy (@cite{beavers-2010}) ← this filePersistenceLevel.fromPatientProfile→ persistence lattice (@cite{grimm-2011})
Each projection preserves different information and serves different grammatical predictions:
| Projection | Preserves | Used for |
|---|---|---|
| AgentivityNode | 4 P-Agent features | Subject selection, case |
| AffectednessDegree | P-Patient strength | MAP, direct/oblique |
| PersistenceLevel | Persistence pattern | Case regions, DOM |
Grammatical consequence #
The affectedness hierarchy predicts the Morphosyntactic Alignment
Principle (MAP): when an argument alternates between direct and oblique
realization, the direct variant has truth conditions at least as strong
as the oblique. See Phenomena/ArgumentStructure/Studies/Beavers2010.lean
for the empirical verification.
Interface to root semantics #
AffectednessDegree relates to three levels of change-of-state
representation in the codebase:
EntailmentProfile.changeOfState— the proto-patient entailment (this file's input)MeaningComponents.changeOfState— the surface diagnostic (inCore/RootDimensions)RootEntailments.result— whether the root itself entails change (inCore/RootDimensions)
These are NOT the same concept. @cite{beavers-koontz-garboden-2020} show that surface CoS can come from either the root or the template. The projection here operates on the proto-role level, which is the final composed meaning — not the root-level or surface-diagnostic level.
Four degrees of affectedness, defined by increasingly weaker truth conditions about what change — if any — occurs in the event.
Each degree is an existential generalization over the result' relation:
quantized: φ → [result'(x, s, g_φ, e)] (specific result state)nonquantized: φ → ∃g[result'(x, s, g, e)] (some change occurred)potential: φ → ◇∃g[result'(x, s, g, e)] (change is possible)unspecified: φ → ∃θ[θ(x, e)] (x merely participates)
The hierarchy forms a total order by truth-conditional entailment: quantized ≥ nonquantized ≥ potential ≥ unspecified.
- quantized : AffectednessDegree
- nonquantized : AffectednessDegree
- potential : AffectednessDegree
- unspecified : AffectednessDegree
Instances For
Equations
- One or more equations did not get rendered due to their size.
Instances For
Numeric strength: higher = stronger truth conditions.
Equations
- Semantics.Lexical.Verb.Affectedness.AffectednessDegree.quantized.strength = 3
- Semantics.Lexical.Verb.Affectedness.AffectednessDegree.nonquantized.strength = 2
- Semantics.Lexical.Verb.Affectedness.AffectednessDegree.potential.strength = 1
- Semantics.Lexical.Verb.Affectedness.AffectednessDegree.unspecified.strength = 0
Instances For
The hierarchy ordering: stronger degrees entail weaker ones.
Instances For
Equations
- a.instDecidableLe b = inferInstanceAs (Decidable (b.strength ≥ a.strength))
Each degree entails all weaker degrees (implicational hierarchy).
Transitivity: quantized entails unspecified.
Reflexivity.
Project an EntailmentProfile onto the affectedness hierarchy.
This is the canonical P-Patient projection: it retains truth-conditional strength while discarding the specific identity of the entailments.
The projection depends on exactly 4 of the 10 features:
changeOfStateandincrementalTheme(distinguish quantized/nonquantized)causallyAffectedandstationary(distinguish potential/unspecified)
All 5 P-Agent features and dependentExistence are irrelevant
(profileToDegree_depends_only_on_patient).
@cite{beavers-2010} Table 5: | Dowty P-Patient | Beavers entailment | |-------------------------|-----------------------| | (a) changeOfState | nonquantized change | | (b) incrementalTheme | totally traversed | | (c) causallyAffected | potential change | | (d) stationary | potential change | | (e) dependentExistence | (irrelevant here) |
Equations
- One or more equations did not get rendered due to their size.
Instances For
The projection depends only on {CoS, IT, CA, St}. Profiles agreeing on these four features always map to the same degree. The remaining 6 features (V, S, C, M, IE, DE) are irrelevant.
This is the forward kernel characterization: sufficient conditions
for two profiles to have the same image under profileToDegree.
What quantized guarantees: both CoS and IT hold.
What nonquantized guarantees: CoS without IT.
What potential guarantees: no CoS, but CA or St.
What unspecified guarantees: no CoS, no CA, no St.
Build object: incremental theme + CoS → quantized.
Eat object: incremental theme + CoS → quantized.
Kick object: CoS but no IT → nonquantized.
See subject has no P-Patient features → unspecified.
Die subject: CoS but no IT → nonquantized (the dying entity undergoes change but not incrementally).