Documentation

Linglib.Core.Discourse.AtIssueness

Gradient At-Issueness and Projectivity #

@cite{roberts-2012} @cite{tonhauser-beaver-degen-2018}

At-issueness and projectivity are gradient, not binary, and anti-correlated. @cite{tonhauser-beaver-degen-2018} report r = .85 (9 expression types) and r = .99 (12 predicates) for the positive correlation between not-at-issueness and projectivity, equivalently a negative correlation between at-issueness and projectivity. This module lifts at-issueness from a binary enum to a bounded rational degree with threshold semantics, mirroring the pattern used for gradable adjectives (degree > θ → positive meaning).

Design #

All four degree/threshold types are Rat01 (= ↥(Set.Icc (0 : ℚ) 1)) from Core.Scales.Scale. The type aliases document intent but share infrastructure (order instances, smart constructors, etc.).

AdjectiveAt-issueness
Degree max (Fin)AtIssuenessDegree (Rat01)
Threshold maxAtIssuenessThreshold (Rat01)
positiveMeaning d θisAtIssue d θ
@[reducible, inline]

A degree of at-issueness ∈ [0, 1]. 0 = fully backgrounded (not at-issue), 1 = fully at-issue.

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    A degree of projectivity ∈ [0, 1]. 0 = no projection, 1 = obligatory projection.

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      @[reducible, inline]

      Contextual threshold for at-issueness classification. Content with degree above this threshold counts as at-issue.

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        @[reducible, inline]

        Contextual threshold for projectivity classification.

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          Content is at-issue when its at-issueness degree exceeds the threshold. Mirrors positiveMeaning from Adjective/Theory.lean.

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            Content is projective when its projectivity degree exceeds the threshold.

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              Binary at-issueness, recoverable from gradient degree + threshold. This is the same enum as in ProjectiveContent.lean, now derived.

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                  Recover binary classification from gradient degree and threshold.

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                    Default threshold at 0.5, matching the midpoint of the [0, 1] scale.

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                      A pair of at-issueness and projectivity ratings for a single expression.

                      • atIssueness :
                      • projectivity :
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                          Anti-correlation property: across a list of expression ratings, higher at-issueness systematically co-occurs with lower projectivity.

                          @cite{tonhauser-beaver-degen-2018} report r = .85 across 9 expression types (Exp 1a) and r = .99 across 12 clause-embedding predicates (Exp 1b), for the positive correlation between not-at-issueness and projectivity. This is equivalent to an anti-correlation between at-issueness and projectivity.

                          This structure captures the deterministic (monotone) version of the Gradient Projection Principle. The statistical version uses Pearson r.

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                            def Core.Discourse.AtIssueness.atIssuenessFromQUD {M : Type u_1} (q : QUD M) (content : MBool) (worlds : List M) :

                            Qualitative connection between QUD and at-issueness: content that doesn't distinguish QUD cells has low at-issueness.

                            @cite{roberts-2012}: at-issue content is content that addresses the QUD. Content that yields the same truth value across all worlds within each QUD cell is backgrounded (not at-issue).

                            The full measure-theoretic version would compute mutual information between content and QUD partition.

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                              Both at-issueness and projectivity are closed-bounded scales on [0, 1].

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                                def Core.Discourse.AtIssueness.ofPercent (n : ) (h0 : 0 n) (h1 : n 100) :

                                Construct a degree from a rational in [0, 100], normalizing to [0, 1]. Useful for entering experimental ratings.

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