Gutzmann (2015): Sentence Mood as Use-Conditional Meaning #
Use-Conditional Meaning: Studies in Multidimensional Semantics (OUP). Self-contained study: the L_TU logic (the book's central formal contribution, a three-dimensional extension of [Pot05]'s L_CI), the sentence-mood operators DEONT/EPIS/HKNOW as use-conditional items, their composition in the German clause-type inventory, and the modal particle predictions. (L_TU and the mood operators live here rather than in the theory layer because this book is their only consumer; they graduate per the ≥ 2-studies rule if a second study consumes them.)
Key claims #
- Sentence mood operators (deontic, epistemic) are UCIs, not presuppositions
- The epistemic interpretation of [±wh] does NOT pass standard presupposition tests (negation, disjunction)
- V2-interrogatives carry a HKNOW condition absent from VL-interrogatives (the Cuban cigar argument)
- Modal particles are functional expletive UCIs whose mood restrictions derive from interaction with sentence mood operators
- wohl is a UC-modifier (not a UCI), with selectional restriction
Clause type predictions #
| Clause type | t-content | u-content |
|---|---|---|
| dass-VL | p | DEONT(p) |
| V2-declarative | p | DEONT(EPIS(p)) |
| VL-interrogative | p | DEONT(EPIS(p)) |
| V2-interrogative | p | DEONT(EPIS(p)) ⊙ HKNOW(p) |
| Imperative | p | DEONT(p) |
The L_TU architecture #
Every expression carries three meaning dimensions — t-dim
(truth-conditional, world-indexed), s-dim (active use-conditional
content being composed), u-dim (completed use-conditional
propositions, context-indexed). Multidimensional application (MA)
composes dimensions pointwise; use-conditional elimination (UE) stores
a completed s-dim in the u-dim and resets. The non-interaction theorem
(non_interaction) guarantees use-conditional meaning never leaks
into truth conditions.
The L_TU logic #
L_TU Type System #
Equations
- One or more equations did not get rendered due to their size.
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.e Gutzmann2015.UCType.e = isTrue ⋯
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.e Gutzmann2015.UCType.t = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_1
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.e Gutzmann2015.UCType.u = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_2
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.e (a.func a_1) = isFalse ⋯
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.t Gutzmann2015.UCType.e = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_4
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.t Gutzmann2015.UCType.t = isTrue ⋯
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.t Gutzmann2015.UCType.u = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_5
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.t (a.func a_1) = isFalse ⋯
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.u Gutzmann2015.UCType.e = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_7
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.u Gutzmann2015.UCType.t = isFalse Gutzmann2015.instDecidableEqUCType.decEq._proof_8
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.u Gutzmann2015.UCType.u = isTrue ⋯
- Gutzmann2015.instDecidableEqUCType.decEq Gutzmann2015.UCType.u (a.func a_1) = isFalse ⋯
- Gutzmann2015.instDecidableEqUCType.decEq (a.func a_1) Gutzmann2015.UCType.e = isFalse ⋯
- Gutzmann2015.instDecidableEqUCType.decEq (a.func a_1) Gutzmann2015.UCType.t = isFalse ⋯
- Gutzmann2015.instDecidableEqUCType.decEq (a.func a_1) Gutzmann2015.UCType.u = isFalse ⋯
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- One or more equations did not get rendered due to their size.
- Gutzmann2015.instReprUCType.repr Gutzmann2015.UCType.e prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Gutzmann2015.UCType.e")).group prec✝
- Gutzmann2015.instReprUCType.repr Gutzmann2015.UCType.t prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Gutzmann2015.UCType.t")).group prec✝
- Gutzmann2015.instReprUCType.repr Gutzmann2015.UCType.u prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Gutzmann2015.UCType.u")).group prec✝
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Equations
- Gutzmann2015.instReprUCType = { reprPrec := Gutzmann2015.instReprUCType.repr }
A type is use-conditional iff it is u or a function into a
use-conditional type. This determines which dimension an expression's
content targets during composition.
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Equations
- Gutzmann2015.UCType.e.decIsUCType = isFalse ⋯
- Gutzmann2015.UCType.t.decIsUCType = isFalse ⋯
- Gutzmann2015.UCType.u.decIsUCType = isTrue trivial
- (a.func a_1).decIsUCType = a_1.decIsUCType
UCI Typology #
UCI classification by three binary features ([Gut15], Ch 2).
functional: takes a truth-conditional argument (vs isolated)twoDimensional: contributes to both t-dim and s-dim (vs expletive)resourceSensitive: argument is consumed/shunted (vs passed through)
- functional : Bool
- twoDimensional : Bool
- resourceSensitive : Bool
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- Gutzmann2015.instReprUCIClass = { reprPrec := Gutzmann2015.instReprUCIClass.repr }
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- One or more equations did not get rendered due to their size.
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Isolated expletive: no argument, only use-conditional content. Example: damn in "the damn dog."
Equations
- Gutzmann2015.isolatedExpletive = { functional := false, twoDimensional := false, resourceSensitive := false }
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Isolated mixed: no argument, contributes to both dimensions. Example: ethnic slurs with descriptive + expressive content.
Equations
- Gutzmann2015.isolatedMixed = { functional := false, twoDimensional := true, resourceSensitive := false }
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Functional expletive: takes an argument, only use-conditional output. Example: German modal particles ja, denn; sentence mood operators.
Equations
- Gutzmann2015.functionalExpletive = { functional := true, twoDimensional := false, resourceSensitive := false }
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Functional shunting: takes an argument that is consumed (not returned). Example: [Pot05]'s comma feature for appositives.
Equations
- Gutzmann2015.functionalShunting = { functional := true, twoDimensional := false, resourceSensitive := true }
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Functional mixed: takes an argument, contributes to both dimensions. Example: some honorific systems.
Equations
- Gutzmann2015.functionalMixed = { functional := true, twoDimensional := true, resourceSensitive := false }
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Use-Conditional Expressions #
How a use-conditional expression interacts with composition ([Gut15], §6.5).
A UCI is a use-conditional item: it contributes u-content by taking truth-conditional arguments. A UC-modifier takes another UCI as its argument and modifies its use-conditional behavior.
This distinction drives two different mechanisms for mood restriction:
- UCIs are restricted by use-conditional conflict (their independent u-content is incompatible with certain mood operators)
- UC-modifiers are restricted selectionally (the mood operator they modify is absent from certain clause types)
- uci : UCExprKind
Use-conditional item: maps truth-conditional content to u-content. Type:
⟨⟨s,t⟩, u⟩(functional) oru(isolated). - ucModifier : UCExprKind
Use-conditional modifier: maps UCIs to UCIs. Type:
⟨⟨⟨s,t⟩,u⟩, ⟨⟨s,t⟩,u⟩⟩. Modifies an existing mood operator (e.g., German wohl modifies EPIS).
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Equations
- Gutzmann2015.instDecidableEqUCExprKind x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- One or more equations did not get rendered due to their size.
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- Gutzmann2015.instReprUCExprKind = { reprPrec := Gutzmann2015.instReprUCExprKind.repr }
How an expression's mood restriction arises ([Gut15], §6.5).
The two mechanisms are empirically distinguishable: selectional restrictions produce type-mismatch infelicity, while use-conditional conflict produces pragmatic deviance.
- selectional : RestrictionKind
The expression modifies a mood operator that is absent from certain clause types — a type mismatch. Example: German wohl modifies EPIS, which is absent from imperatives.
- ucConflict : RestrictionKind
The expression's independent u-content is incompatible with certain sentence moods. Example: German ja's common-ground reminder conflicts with the epistemic uncertainty of interrogatives.
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- Gutzmann2015.instDecidableEqRestrictionKind x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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Three-Dimensional Meanings #
A three-dimensional meaning in L_TU ([Gut15], (4.46)).
C is the context type (for use-conditional propositions, sets of contexts),
W is the world type (for truth-conditional propositions, sets of worlds).
The crucial type distinction: uDim is C → Bool while tDim/sDim
are W → Bool. Use-conditional propositions constrain the context of
utterance, not the described world — matching Kaplan's character/content
distinction.
- tDim : W → Prop
Truth-conditional content: the at-issue proposition
- sDim : W → Prop
Active use-conditional content being composed
- uDim : C → Prop
Completed use-conditional propositions (stored, inaccessible to further truth-conditional composition)
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Multidimensional application ([Gut15], (4.46)).
The full MA rule applies functions intradimensionally: dimension 1
applies σ(β₁), dimension 2 applies ρ(β₂), and u-dimensions merge
via ⊙ (conjunction). At the propositional level — where both inputs
are already of type ⟨s,t⟩ — function application reduces to pointwise
conjunction, which is what this definition implements. The sub-propositional
case (where dims 1-2 are genuine function applications) is not formalized.
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Use-conditional elimination ([Gut15], (4.54)).
When the s-dimension reaches type u (its content is a completed
use-conditional proposition), UE:
- Shifts s-dim content to u-dim (conjoining with existing u-content)
- Resets s-dim to a copy of t-dim
The eval parameter bridges the world-indexed s-dim to the
context-indexed u-dim, typically by projecting the world from the context.
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Lift a truth-conditional proposition to a three-dimensional meaning.
Both t-dim and s-dim carry the propositional content. u-dim is trivially satisfied (no use-conditional content yet). Corresponds to a pure truth-conditional lexical item before LER extension.
Equations
- Gutzmann2015.ofTruthConditional p = { tDim := p, sDim := p, uDim := fun (x : C) => True }
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Lift a use-conditional function to a three-dimensional meaning.
t-dim is trivially true (UCIs do not contribute truth conditions).
s-dim carries the active UCI content.
u-dim is trivially true until ucElim fires.
Equations
- Gutzmann2015.ofUCI ucContent = { tDim := fun (x : W) => True, sDim := ucContent, uDim := fun (x : C) => True }
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Bridge to TwoDimProp #
Project a three-dimensional meaning to a TwoDimProp (final
interpretation).
After all composition and UE steps, the final meaning of a sentence has t-dim = truth-conditional content and u-dim = accumulated use-conditional propositions. The s-dim equals t-dim (reset by UE) and is discarded.
The evalU function projects the context-indexed u-dim (C → Bool)
to a world-indexed CI content (W → Bool) for the TwoDimProp.ci
field. This corresponds to [Gut15]'s lowering operator
⇓_c which converts u-propositions to world sets by fixing context
parameters except the world.
Equations
- Gutzmann2015.toTwoDim m evalU = { atIssue := m.tDim, ci := evalU m.uDim }
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Key Theorems #
UE does not affect truth conditions.
This is the formal guarantee of non-interaction: storing use-conditional content in the u-dimension never changes what a sentence says about the world.
After UE, the s-dimension is reset to the t-dimension.
MA merges u-dimensions via conjunction. Completed use-conditional propositions from both constituents are preserved.
A pure truth-conditional expression has trivial use conditions.
Non-Interaction (General) #
A derivation in the propositional fragment of L_TU.
Derivation trees encode the composition history: which expressions were combined via MA, and where UE was applied. This lets us state and prove properties of all possible derivations, not just specific ones.
- leaf
{C : Type u_1}
{W : Type u_2}
: ThreeDimMeaning C W → LTUDeriv C W
A lexical item (leaf of the derivation tree)
- app
{C : Type u_1}
{W : Type u_2}
: LTUDeriv C W → LTUDeriv C W → LTUDeriv C W
Multidimensional application of two sub-derivations
- elim
{C : Type u_1}
{W : Type u_2}
: LTUDeriv C W → ((W → Prop) → C → Prop) → LTUDeriv C W
Use-conditional elimination applied to a sub-derivation
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Evaluate a derivation to its three-dimensional meaning.
Equations
- (Gutzmann2015.LTUDeriv.leaf m).eval = m
- (d₁.app d₂).eval = Gutzmann2015.multidimApp d₁.eval d₂.eval
- (d.elim f).eval = Gutzmann2015.ucElim d.eval f
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Strip all use-conditional content from a derivation's leaves, replacing s-dim with t-dim and u-dim with trivial content. This produces a "truth-conditional shadow" of the derivation.
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Non-interaction theorem ([Gut15]).
For ANY derivation built from multidimensional application and use-conditional elimination, the truth-conditional content of the result depends ONLY on the truth-conditional content of the inputs.
Stripping all use-conditional content from the leaves does not change the final t-dimension. Use-conditional meaning can never leak into truth conditions — not through MA, not through UE, not through any combination of the two. This is the fundamental architectural guarantee of L_TU.
UCI Non-Contribution #
Composing with a UCI does not change truth conditions.
When a functional expletive UCI (with trivial t-dim) is composed with truth-conditional content via MA, the t-dim of the result equals the t-dim of the truth-conditional input. This is the formal content of "UCIs do not contribute truth conditions."
Composing with truth-conditional content does not change truth conditions of an expression whose t-dim is already trivial.
Bridge Compositionality #
The 3D→2D bridge commutes with MA when the lowering operator distributes over conjunction.
If evalU preserves conjunctive structure (i.e., lowering a conjunction
of u-propositions equals the conjunction of lowered u-propositions),
then projecting a composed 3D meaning to 2D is the same as composing
the individual 2D projections.
This is the formal guarantee that L_TU's 3D composition "collapses" correctly into [Pot05]'s 2D framework.
Sentence-mood operators as UCIs #
Mood Context #
A context of utterance for sentence mood evaluation.
Captures the context parameters that sentence mood operators quantify
over: c_S (speaker), c_A (addressee), c_W (world of the context).
Simplification: [Gut15] defines DEONT via existential
quantification over a set D of contextually suitable deontic predicates
(wants, wishes, orders, ...). The full definition is:
⟦DEONT⟧ = λp.{c : ∃ d ∈ D, d suitable for p in c ∧ d(c_S, p, c_W)}.
We simplify this to a fixed speakerWants function, which suffices for
the core derivation theorems but does not capture the context-dependent
selection among different deontic attitudes.
- world : W
The world of the utterance context
- speakerWants : Bool → Bool
Whether the speaker wants p to hold (given p's truth value at world)
- addresseeKnows : Bool → Bool
Whether the addressee knows whether p (given p's truth value at world)
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Sentence Mood Operators #
Deontic sentence mood operator ([Gut15], (5.85)).
⟦DEONT⟧ = λp. {c : there is a d ∈ D such that d is suitable for p in c and d holds for p in c_W}
Simplified: the speaker wants p to hold in the utterance world.
Introduced by the root rule (5.43): every matrix clause gets a deontic interpretation, expressing a volition on the part of the speaker.
Equations
- Gutzmann2015.deont p c = c.speakerWants (p c.world)
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Epistemic sentence mood operator ([Gut15], (5.90)).
⟦EPIS⟧ = λp. {w : EPIS(p)(w) in w} = λp. {w : there is an e ∈ E suitable for p in w and e holds for p in w}
Simplified: at the world level, epistemic embedding preserves truth. The epistemic contribution is in the use-conditional dimension, mediated by the E modifier.
Equations
- Gutzmann2015.epis p = p
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The E operator: epistemic modifier on UCIs ([Gut15], (5.91)).
E = λDλp. D(EPIS(p))
This is a use-conditional modifier of type
⟨⟨⟨s,t⟩,u⟩, ⟨⟨s,t⟩,u⟩⟩. It takes a UCI (like DEONT) that maps
propositions to use-conditional propositions, and pre-composes it
with EPIS. The result is that DEONT applies to the epistemically
embedded proposition rather than the raw propositional content.
Equations
- Gutzmann2015.episModifier d p c = d (Gutzmann2015.epis p) c
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Hearer knowledge operator ([Gut15], (5.99)).
⟦HKNOW⟧ = λp. {c : c_A knows whether p in c_W}
A functional expletive UCI that adds a "free-floating" use condition: the addressee knows the answer to the question. Present only in V2-interrogatives (triggered by [−wh] in C⁰), absent from VL-interrogatives — accounting for the Cuban cigar scenario.
Equations
- Gutzmann2015.hknow p c = c.addresseeKnows (p c.world)
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Mood Operator Inventory #
Which sentence mood operators are present in a clause type ([Gut15], Table 5.1).
Language-agnostic predicate over a (possibly language-specific) clause
type, recording which of DEONT, EPIS, and HKNOW the clause composes.
Used by per-language clause-type fragments to declare their mood
inventories (e.g., German.ClauseTypes.GermanClauseType.moodStructure).
- hasDeontic : Bool
- hasEpistemic : Bool
- hasHearerKnowledge : Bool
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- Gutzmann2015.instReprMoodStructure = { reprPrec := Gutzmann2015.instReprMoodStructure.repr }
Operator-level theorems #
Epistemic embedding preserves truth at the world level. The epistemic contribution is purely use-conditional, not truth-conditional.
The German clause-type mood compositions #
German clause-type mood compositions #
dass-VL clause mood: DEONT only ([Gut15], (5.82)).
No [±wh] visible at LF (dass is semantically empty, so [−wh] is invisible per the visibility condition (5.41)). Therefore no epistemic interpretation is triggered. The root rule introduces DEONT.
"Dass du nicht zu spät kommst!" = The speaker wants [you not arrive late].
Equations
- Gutzmann2015.dassVLMood p c = Gutzmann2015.deont p c
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V2-declarative mood: DEONT(EPIS(p)) ([Gut15], (5.93)–(5.96)).
The finite verb moves to C⁰ (V-to-C triggered by [−wh] attached to an overt element at PF). The [−wh] is visible at LF, triggering epistemic interpretation. The root rule adds DEONT, and E modifies it to embed the epistemic predicate.
"Jim wohnt in Berlin." = The speaker wants the hearer to believe [Jim lives in Berlin].
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V2-interrogative mood: DEONT(EPIS(p)) ⊙ HKNOW(p) ([Gut15], (5.100)).
V2-interrogatives have two [±wh] specifications: [+wh] in CP^spec and [−wh] in C⁰ (Brandt et al. 1992). The first triggers epistemic interpretation, the second (in C⁰) triggers an additional epistemic interpretation resolved to hearer knowledge. HKNOW is a separate functional expletive UCI whose u-content is conjoined (⊙) with the deontic/epistemic mood.
"Kommt Peter?" = The speaker wants to know [whether Peter comes] AND the addressee knows [whether Peter comes].
Equations
- Gutzmann2015.v2InterrogMood p c = (Gutzmann2015.episModifier Gutzmann2015.deont p c && Gutzmann2015.hknow p c)
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VL-interrogative mood: DEONT(EPIS(p)) only — no HKNOW ([Gut15], p. 213).
VL-interrogatives (e.g., "Wann Peter nach Hause kommt?") lack the [−wh] in C⁰ that triggers HKNOW. Therefore they are felicitous even when the hearer does not know the answer (the Cuban cigar scenario).
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Mood-operator theorems for the German clause-type compositions #
dass-VL clauses have no epistemic component.
V2-interrogatives differ from VL-interrogatives only in the HKNOW component (hearer knowledge use condition).
Mood structures of the German clause types #
The mood structure of each German clause type, derived from the theory of [±wh] visibility and the root rule.
Equations
- German.ClauseTypes.GermanClauseType.dassVL.moodStructure = { hasDeontic := true, hasEpistemic := false, hasHearerKnowledge := false }
- German.ClauseTypes.GermanClauseType.v2Declarative.moodStructure = { hasDeontic := true, hasEpistemic := true, hasHearerKnowledge := false }
- German.ClauseTypes.GermanClauseType.v2Interrogative.moodStructure = { hasDeontic := true, hasEpistemic := true, hasHearerKnowledge := true }
- German.ClauseTypes.GermanClauseType.vlInterrogative.moodStructure = { hasDeontic := true, hasEpistemic := true, hasHearerKnowledge := false }
- German.ClauseTypes.GermanClauseType.imperative.moodStructure = { hasDeontic := true, hasEpistemic := false, hasHearerKnowledge := false }
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Every matrix clause has a deontic operator (the root rule).
Imperatives lack EPIS — the structural basis for selectional restrictions on UC-modifiers like wohl.
dass-VL and imperatives share mood structure: deontic only.
V2-interrogatives differ from VL-interrogatives only in HKNOW.
HKNOW holds of exactly the V2-interrogative — the matrix question. The HKNOW use condition tracks matrix interrogativity ([Gut15], p. 213, Cuban cigar argument).
dass-VL and V2-declaratives are distinguished only at the mood-structure level.
Mood-structure predictions #
The Cuban cigar argument: V2- and VL-interrogatives differ ONLY in the hearer knowledge condition. This explains why VL-interrogatives are felicitous even when the hearer clearly does not know the answer (the Cuban cigar scenario), while V2-interrogatives are not.
Imperatives share dass-VL mood structure (deontic only): both lack [±wh] at LF, so neither triggers epistemic interpretation.
dass-VL clauses have no epistemic component.
V2-declaratives have epistemic but not hearer knowledge.
Modal particle–mood interaction #
Gutzmann's L_TU classification (§6.5): ja/denn/halt/doch are
functional-expletive UCIs of type ⟨⟨s,t⟩, u⟩, restricted via
use-conditional conflict. (Formerly fragment fields; the typing is this
book's analysis.)
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wohl is Gutzmann's sole UC-modifier among the common MPs: type
⟨⟨⟨s,t⟩,u⟩, ⟨⟨s,t⟩,u⟩⟩, modifying EPIS, restricted selectionally.
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Restriction kind per Gutzmann: UCIs restrict via use-conditional conflict, UC-modifiers selectionally (imperatives lack EPIS — a type mismatch, not a pragmatic conflict).
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wohl's licensing across German clause types is exactly the presence of EPIS in the clause type's mood structure — the formal content of the selectional restriction analysis.
ja is restricted to declaratives, matching the clause type with deontic + epistemic mood but without the hearer knowledge condition.
denn is the interrogative counterpart of ja.
ja and denn partition clause types: they are never both licensed in the same clause type.