Documentation

Linglib.Phenomena.Reference.Studies.RonderosEtAl2024

@cite{ronderos-etal-2024} #

@cite{sedivy-etal-1999} @cite{kursat-degen-2021} @cite{giles-etal-2026} @cite{aparicio-xiang-kennedy-2015} @cite{aparicio-2017}

Perceptual, Semantic, and Pragmatic Factors Affect the Derivation of Contrastive Inferences. Open Mind: Discoveries in Cognitive Science 8, 1213–1227.

Empirical Phenomenon #

Cross-linguistic visual-world eye-tracking (English, Hindi, Hungarian) crossing a same-category contrast manipulation with three adjective types (color, scalar, material). The paper reports two qualitatively distinct findings, formalised here as two predicates:

  1. Contrast effect (target-advantage analysis, §3 Results, ¶1–2): the contrastive inference effect — reduced cross-category competitor looks in the contrast condition — appears for color and scalar adjectives but is absent for material. The interaction term (helmert contrast: material vs. color+scalar) is significant.

  2. Scalar baseline disadvantage (No-Contrast total looks, §3 Results, ¶4): in the no-contrast condition, fixations on target + competitor are lower for scalar adjectives than for either color (β = 0.25, p < 0.01) or material (β = 0.24, p < 0.05). No significant difference between color and material. Attributed to scalar adjectives requiring more comparison-class processing (@cite{aparicio-xiang-kennedy-2015}, @cite{aparicio-2017}) — gaze is more distributed across all four display objects when the listener must construct a comparison class.

These two findings target different mechanisms: pattern (1) is the perceptual / pragmatic story (visual salience of the contrastive property modulates the contrastive inference); pattern (2) is the semantic story (gradable adjectives demand comparison-class binding). The paper's contribution is teasing these apart.

Paradigm #

Built on Paradigms.VisualWorld (@cite{huettig-rommers-meyer-2011}). The display contains four objects (ObjectRole):

Within-subjects manipulations on Cell:

Cross-linguistic generalisation (English, Hindi, Hungarian) is methodological rather than structural: the paper deliberately omits LANGUAGE as a regression predictor (treating it as a clustering unit above participants) because the empirical claim is that the same qualitative pattern survives across all three groups, not that the effect magnitudes are identical. We therefore do not include a Language field on Cell — it would force the predicates to make empirically too-strong pairwise claims (e.g., the marginal-mean helmert interaction does not entail that every Hungarian material cell has a smaller contrast effect than every English color cell, as Figure 3 makes visible). The cross-linguistic generalisation is documented here in prose; if a future study formalises a language-stratified predicate at the paradigm level, the field can be added.

The task is held constant (instruction with definite NP across all trials), so it is not lensed on Cell — varying it would have no within-study consumer.

Architectural Role #

This file is an empirical anchor: it defines the experimental cells and qualitative predicates that downstream theoretical models must satisfy. The empirical claims are encoded as paradigm-level predicates, never as rfl-over-stipulated-statistics theorems (@cite{ronderos-etal-2024}'s F/β/p values are documented in prose at each predicate, per the CLAUDE.md Processing scope).

The novel architectural feature relative to @cite{sedivy-etal-1999} is stratification: where Sedivy's contrast effect is universal over cells, Ronderos's is conditional on the stratum (color or scalar, not material). The stratified predicate Paradigms.VisualWorld.ContrastReducesCompetitorLooksWhen was added to support exactly this kind of multi-factor design without inflating the paradigm with a study-specific factor. The interaction (color and scalar effects strictly larger than material effects) is expressed via Paradigms.VisualWorld.ContrastEffectLargerFor — the paradigm-level shape of an "X × condition" interaction.

The scalar baseline disadvantage is expressed via Paradigms.VisualWorld.RoleSumLowerInBaselineWhen — also added to the paradigm because it is a recurring analysis pattern (@cite{aparicio-xiang-kennedy-2015} report it on color vs. scalar; @cite{ronderos-etal-2024} replicate and extend to material vs. scalar).

Theoretical Significance #

Two prior accounts of the contrastive inference effect:

  1. Lexical comparison-class (@cite{sedivy-etal-1999}, @cite{bierwisch-1989}): scalar adjectives carry a free comparison-class variable, bound by visual context, which makes the contrast pair pragmatically informative. Predicts an effect for scalar but not for color or material (color and material do not require a comparison class — see Features.PropertyDomain.requiresComparisonClass).

  2. Perceptual discrimination (@cite{kursat-degen-2021}, @cite{giles-etal-2026}): high perceptual discriminability makes a contrastive description informative. Predicts an effect tracking the noise-discrimination ordering color > size > material from RSA.Noise.

Pattern (1) above is the joint envelope: scalar effect (lexical route), color effect (perceptual route), no material effect (fails both routes). Pattern (2) above is additionally required to capture the semantic-restrictiveness signature on the no-contrast baseline, which is observable independent of any contrast manipulation.

Open architectural threads #

Adjective types crossed with the contrast manipulation.

  • color: black, blue, brown, green, orange, red, white, yellow.
  • scalar: large, narrow, short, small, tall, thick, thin, wide.
  • material: cotton, glass, gold, leather, metal, paper, plastic, wooden, woolen.

Adjective type is a study-local factor — it partitions the cells but is not lensed (the contrast factor is the only one swapped by the paradigm-level predicates here).

Instances For
    @[implicit_reducible]
    Equations
    Equations
    • One or more equations did not get rendered due to their size.
    Instances For
      @[implicit_reducible]
      Equations
      • One or more equations did not get rendered due to their size.

      Map adjective type to its Features.PropertyDomain. Scalar adjectives are spatial dimensions (size); color and material map to their eponymous domains. This is the bridge that lets cross-study theorems connect Ronderos's adjective-type stratification to Sedivy's domain-level reasoning and to RSA.Noise's discrimination ordering.

      Equations
      Instances For

        A condition cell in Ronderos's 2 × 3 design (contrast × adjective type). Only the contrast factor is lensed — adjective type is consumed by the sub-cell predicates in §3. See the module docstring for why Language is not a field.

        Instances For
          def RonderosEtAl2024.instDecidableEqCell.decEq (x✝ x✝¹ : Cell) :
          Decidable (x✝ = x✝¹)
          Equations
          • One or more equations did not get rendered due to their size.
          Instances For
            def RonderosEtAl2024.instReprCell.repr :
            CellStd.Format
            Equations
            • One or more equations did not get rendered due to their size.
            Instances For
              Equations
              Instances For
                @[implicit_reducible]
                Equations
                • One or more equations did not get rendered due to their size.
                @[implicit_reducible]

                Display kind is the four-object workspace throughout, per the paper's Methods. Between-study constant, no lens.

                Equations

                Note: no HasTask instance. The task is fixed (definite-NP instruction) across all cells — a constant projection cannot satisfy the setTask/taskOf lens laws (taskOf (setTask k c) = k would force the projection to vary). Studies that hold a paradigm factor constant should omit the lens, not stub it with a constant.

                Adjective type partitions the cell space into three strata. The paradigm-level predicates ContrastReducesCompetitorLooksWhen, ContrastEffectLargerFor, and RoleSumLowerInBaselineWhen consume Cell → Prop filters; defining the strata as Props lets us state the empirical patterns at exactly the granularity Ronderos's analysis reports.

                Cells whose adjective is a color term.

                Equations
                Instances For

                  Cells whose adjective is a scalar (spatial-dimension) term.

                  Equations
                  Instances For

                    Cells whose adjective is a material term.

                    Equations
                    Instances For

                      The "inference-triggering" strata — color and scalar adjective types — corresponding to the helmert-coded grouping the paper uses for the interaction analysis (material vs. color+scalar). The name is interpretive of the paper's conclusion that this group produces a contrastive inference; the underlying primitive is the helmert contrast.

                      Equations
                      Instances For

                        The Ronderos pattern is encoded as a Prop-valued structure with one field per qualitative finding. The empirical claims fall into two distinct families with two distinct observables:

                        A theory of contrastive inference "satisfies the Ronderos pattern" iff its predicted look proportions satisfy all fields. Statistical readings (the F/β/p values cited below) need a real-valued aggregator and are out of scope for the paradigm contract.

                        structure RonderosEtAl2024.SatisfiesRonderosPattern {R : Type} [LT R] [Sub R] [Add R] [Zero R] (looks : Paradigms.VisualWorld.LookProportion Cell R) :

                        A look-proportion observable satisfies the Ronderos pattern if:

                        Contrast-effect family (§3 Results ¶1–3):

                        • color_contrast_reduces_competitor: paradigm-level ContrastReducesCompetitorLooksWhen ColorCells — every color cell shows a strictly smaller cross-category competitor look proportion in the contrast condition than in the no-contrast condition. Paper §3 ¶1: significant cluster 240–600 ms post adjective onset (sum-t = 39.61, p < 0.01). §3 ¶2: target- advantage β = 0.24, t = 2.41, p < 0.05.
                        • scalar_contrast_reduces_competitor: same shape, restricted to ScalarCells. §3 ¶1: significant cluster 260–500 ms (sum-t = 33.07, p < 0.01). §3 ¶2: β = 0.19, t = 2.02, p < 0.05.
                        • material_effect_smaller: paradigm-level ContrastEffectLargerFor InferenceTriggeringCells MaterialCells — the contrast effect on every inference-triggering cell strictly exceeds the contrast effect on every material cell. §3 ¶1 adjective-type × condition interaction: significant cluster 280–600 ms (sum-t = 37.96, p < 0.01). §3 ¶2 reports the material main effect as non-significant (β = 0.10, t = 1.08, p = 0.28).

                        The absence of a material_contrast_reduces_competitor field is deliberate: a null finding is encoded by absence, not by adding ¬ ContrastReducesCompetitorLooksWhen MaterialCells looks (statistical power and direction-of-null are prose, not theorem). The interaction field is the stronger qualitative claim that survives without statistical machinery: material's effect is strictly smaller than the others, not exactly zero.

                        Baseline-restrictiveness family (§3 Results ¶4):

                        The paper reports no significant color-vs-material baseline difference; we encode this null by the absence of a field asserting either direction (same convention as the contrast-effect null). The two scalar fields together encode the paper's interpretation: scalar adjectives demand comparison-class processing, distributing gaze across all four display objects and away from the two critical roles. This semantic factor is independent of the contrast manipulation.

                        Instances For

                          A trivial look model exhibiting both Ronderos shapes simultaneously.

                          Cross-category competitor looks: 1 in every contrast cell; in no-contrast cells, color 5, scalar 4, material 2. The contrast effect is therefore color 4, scalar 3, material 1 — strictly positive everywhere with inference-triggering strata strictly exceeding material.

                          Target looks (no-contrast only): color 5, scalar 1, material 6. The target + competitor role-sum in the no-contrast baseline is therefore color 10, scalar 5, material 8 — scalar strictly below both, satisfying the baseline disadvantage fields.

                          Witness only — carries no theoretical content.

                          Equations
                          Instances For

                            The Ronderos pattern is satisfiable: trivialLooks satisfies all five fields. Without this witness the structure could in principle be uninhabited.

                            These theorems articulate the theoretical positions Ronderos's data take on. They are type-level connections to the relevant infrastructure (Features.PropertyDomain, RSA.Noise, SedivyEtAl1999), not restated empirical claims.

                            Agreement with @cite{sedivy-etal-1999} on scalar adjectives. Both studies place the scalar contrast effect on the size domain, which Features.PropertyDomain flags as requiring comparison-class binding.

                            Disagreement with the comparison-class-only mechanism on color. Color does not require comparison-class binding (so the Bierwisch/Sedivy mechanism alone predicts no contrast effect for color), yet Ronderos finds a robust color contrast effect.

                            Material fails the comparison-class route. Material adjectives, like color, do not require comparison-class binding — so the lexical mechanism predicts no contrast effect, consistent with Ronderos's null finding for material. (The lexical mechanism alone is insufficient for color, however; see color_does_not_require_comparison_class.)

                            Effect ordering aligns with noise discrimination. The perceptual-discrimination route predicts the cross-category competitor reduction to track RSA.Noise's discrimination ordering. Ronderos's qualitative effect ordering — present for color and scalar, absent for material — is consistent with RSA.Noise's ordering color (≈0.98) > size (≈0.60) > material (≈0.40). @cite{kursat-degen-2021} found the same direction on the production side; @cite{ronderos-etal-2024} extends it to comprehension.

                            PropertyDomain ↔ noise discrimination wiring. Each adjective type maps through AdjType.toDomain to a PropertyDomain that Features.PropertyDomain.noiseDiscrimination resolves to the corresponding RSA.Noise constant. Recorded here so the bridge to discrimination ordering is auditable.

                            The two empirical families project onto different mechanisms. The contrast-effect family is keyed off Features.PropertyDomain.noiseDiscrimination (perceptual route): all three adjective types have some discrimination value, but only those above the material level produce a contrast effect. The baseline-restrictiveness family is keyed off Features.PropertyDomain.requiresComparisonClass (semantic route): only the scalar (size) domain returns true, predicting the no-contrast baseline disadvantage to be uniquely scalar.

                            This theorem records the two-mechanism factorisation as a typed statement: the scalar adjective type is the unique one whose domain requires a comparison class; color and material are the two whose domains have noise discrimination strictly above the material baseline (where "above the material baseline" means "strictly larger" — material is at the floor). The two mechanisms therefore make orthogonal predictions, and Ronderos's pattern is the joint envelope.