Active–Stative Alignment¶
A morphosyntactic alignment pattern in which some intransitive arguments receive the coding used for transitive A arguments and others receive the coding used for transitive P arguments, conditioned by predicate class or event semantics.
Core Idea¶
Active–stative alignment is a morphosyntactic alignment pattern in which the sole argument of an intransitive predicate is not coded uniformly. Some intransitive arguments are treated like the more agent-like argument of a transitive clause; others are treated like the more patient-like argument. In standard typological notation, let A be the transitive agent-like argument, P (or Dixon's O) the transitive patient-like argument, and S the sole argument of an intransitive clause. Active–stative alignment contains both
Scope of Application¶
The abstraction belongs to linguistic typology, descriptive grammar, morphosyntax, lexical semantics, and historical linguistics. It is used to compare language-specific systems, to decide whether an apparent “subject” category is uniform, to document pronominal or agreement paradigms, and to reconstruct how semantic motivations become lexicalized or grammaticized. The Oxford volume The Typology of Semantic Alignment includes general chapters and case studies from Eurasia, eastern Indonesia, and the Americas, including Tundra Nenets, Basque, Amis, Lakota, Otomi, Guaraní, Arawak languages, and Pilagá. This breadth establishes recurrence without implying that all those systems are structurally identical.
Clarity¶
A reliable analysis begins with four tables rather than with English translations. First, establish how A and P are coded in the target subsystem. Second, inventory the coding of S across underived intransitive predicates. Third, test whether the S forms match the A and P series. Fourth, model the distribution using lexical class and contextual semantic variables. Only then assign the alignment label.
Manages Complexity¶
The abstraction compresses a potentially disorderly inventory of agreement prefixes, clitics, cases, and verb classes into a comparison with three grammatical positions and a conditioning rule. Instead of memorizing that dozens of intransitive predicates take one of two series, an analyst asks which share A coding, which share P coding, and which semantic or lexical features predict the distribution. Exceptions then become diagnosable as lexicalization, competing features, historical residue, or misanalysis rather than undifferentiated irregularity.
Abstract Reasoning¶
Several inferences follow from the signature. If an alleged active marker never occurs with transitive A, its analysis as \(S_A=A\) requires additional justification. If P-like S marking appears only on derived passives, voice may explain it better than active–stative alignment. If the same intransitive predicate alternates with a stable contrast in control, affectedness, or event viewpoint, fluid-S is supported; if it does not alternate, a split-S lexical analysis is safer.
Knowledge Transfer¶
The abstraction transfers literally among case-marking studies, agreement and indexing analyses, lexicon–grammar interface research, field grammar, and diachronic typology. In each practice the analyst identifies A, P, and S; verifies two S coding patterns; and determines whether lexical class or event semantics conditions the selection. This common procedure supports comparison even when one language uses suffixal case and another uses verbal pronominal prefixes.
Relationships to Other Abstractions¶
Current abstraction Active–Stative Alignment Domain-specific
Parents (1) — more general patterns this builds on
-
Active–Stative Alignment presupposes Function (Mapping) Prime
Active–Stative Alignment presupposes
prime:function_mapping: a grammar maps a fully specified predicate-and-context input to an A-like or P-like coding output.
Hierarchy path (1) — routes to 1 parentless root
- Active–Stative Alignment → Function (Mapping)
Neighborhood in Abstraction Space¶
Active–Stative Alignment sits in a sparse region of the domain-specific corpus (88th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Unclustered & Miscellaneous (1565 abstractions)
Nearest neighbors
- Ergative–absolutive alignment — 0.81
- Liskov Substitution Principle — 0.80
- Direct case — 0.79
- Predicted Aligned Error — 0.79
- Morphological Typology — 0.78
Computed from structural-signature embeddings · 2026-09-08