Evidential Support #
@cite{ippolito-kiss-williams-2025} @cite{thomas-2026}
Named abstraction over probabilistic answerhood primitives, factored out for reuse across discourse particles that share the notion of "supporting an answer to a QUD" — additive particles and discourse only.
Two layers of SUPPORT #
@cite{ippolito-kiss-williams-2025} Definition 13 decomposes SUPPORT into two independent conditions:
- Doxastic: the speaker believes some alternative q of the sentence's denotation (DOX_sp ⊆ q for some q ∈ ⟦S⟧)
- Probabilistic: q provides evidence for answer r (P(r|q) > P(r))
The doxastic condition is what blocks canonical info-seeking questions as the left argument of discourse only: the speaker doesn't believe any answer, so DOX_sp ⊄ q for all q ∈ ⟦S⟧. Biased/rhetorical questions CAN satisfy the doxastic condition because the speaker does believe an answer.
Definitions #
probSupports— probabilistic support: P(α|E) > P(α) (wrapsisPositiveEvidence)probAntiSupports— probabilistic anti-support: P(α|E) < P(α)fullSupport— IKW Def. 13: doxastic + probabilistic (DOX_sp ⊆ q ∧ P(r|q) > P(r))supportedAnswers— which alternatives are supportedsupportStrength— magnitude of evidential boost
Probabilistic support: evidence E raises the probability of answer α.
This is the probabilistic component of @cite{ippolito-kiss-williams-2025} Definition 13:
P(α|E) > P(α). Wraps isPositiveEvidence from ProbabilisticAnswerhood.
Equations
- Semantics.Questions.Support.probSupports prior evidence answer = Semantics.Questions.ProbabilisticAnswerhood.isPositiveEvidence evidence answer prior
Instances For
Probabilistic anti-support: evidence E lowers the probability of answer α.
P(α|E) < P(α). Wraps isNegativeEvidence.
Equations
- Semantics.Questions.Support.probAntiSupports prior evidence answer = Semantics.Questions.ProbabilisticAnswerhood.isNegativeEvidence evidence answer prior
Instances For
Which answers in a QUD are probabilistically supported by evidence E.
Equations
- Semantics.Questions.Support.supportedAnswers evidence q prior = Semantics.Questions.ProbabilisticAnswerhood.supportedAlternatives evidence q prior
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The magnitude of evidential support: P(α|E) − P(α).
Equations
- Semantics.Questions.Support.supportStrength evidence conclusion prior = Semantics.Questions.ProbabilisticAnswerhood.evidentialBoost evidence conclusion prior
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Conjunction of two propositions strengthens support for a conclusion beyond what the first proposition provides alone.
Equations
- Semantics.Questions.Support.conjunctionStrengthensSupport p1 p2 conclusion prior = Semantics.Questions.ProbabilisticAnswerhood.conjunctionStrengthens p1 p2 conclusion prior
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Full SUPPORT predicate from @cite{ippolito-kiss-williams-2025} Definition 13.
SUPPORT(S, r) holds iff:
- (Doxastic) ∃q ∈ ⟦S⟧: DOX_sp ⊆ q — the speaker believes some alternative of S's denotation
- (Probabilistic) q provides evidence for r — P(r|q) > P(r)
Parameters:
dox: the speaker's doxastic state DOX_sp (an info state)sentDen: the inquisitive denotation ⟦S⟧ (its alternatives are the q's)prior: probability distribution over worldsanswer: the answer r being supportedworlds: list of worlds for evaluating the doxastic subset check
Equations
- One or more equations did not get rendered due to their size.
Instances For
probSupports is definitionally isPositiveEvidence.
Supporting some answer implies relevance to the QUD.
Entailing an alternative guarantees support, given positive probability and non-certainty.
Full support for declaratives: a declarative's denotation has one alternative (its propositional content). If the speaker believes p (DOX_sp ⊆ p) and p provides evidence for r, then SUPPORT(S, r) holds.
This is a convenience lemma — fullSupport applied to a singleton Issue.
Full support fails when the speaker doesn't believe any alternative.
For canonical info-seeking questions, the speaker doesn't know the answer: DOX_sp ⊄ q for ALL q ∈ ⟦S⟧. This blocks SUPPORT entirely, regardless of the probabilistic component. This is IKW's explanation of the interrogative left-argument restriction (§5.2).
Anti-support implies non-support: if evidence lowers P(α), it certainly doesn't raise it.
This captures the key asymmetry between but and discourse only:
but requires negRelevant (anti-support / BF < 1), while discourse only
only requires ¬probSupports (failure to support). Since anti-support implies
non-support, but's condition is strictly stronger.