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Linglib.Studies.Zheng2025

Zheng (2025): Nandao-Q Felicity [Zhe25] #

Mandarin nandao-question felicity. Self-contained study file: empirical data, the Mandarin Fragment entry, and bridges to the Kernel-theoretic felicity predicate nandaoFelicitous.

The core finding is that positive evidential bias is necessary for nandao-Q felicity, while negative epistemic bias is neither necessary nor sufficient.

Key Generalizations #

  1. Positive evidential bias (contextual evidence for p) → nandao felicitous
  2. Epistemic bias alone (prior belief against p, no evidence) → nandao infelicitous
  3. Evidence must be unexpected relative to prior information state
  4. Nandao-Qs can function as pure inquiry (no prior belief required)

Predictions verified #

Known gaps #

A nandao-Q felicity datum.

  • exampleNum : String

    Example number from [Zhe25]

  • context : String

    Context description

  • sentence : String

    The nandao-Q sentence (pinyin)

  • evidentialBias : Bool

    Is there positive evidential bias (contextual evidence for p)?

  • epistemicBias : Bool

    Is there negative epistemic bias (prior belief against p)?

  • unexpectedEvidence : Bool

    Is the evidence unexpected?

  • felicitous : Bool

    Is the nandao-Q felicitous?

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      def Zheng2025.instDecidableEqNandaoDatum.decEq (x✝ x✝¹ : NandaoDatum) :
      Decidable (x✝ = x✝¹)
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        Ex. 1: Rhetorical use. Lee working on Sunday (evidence) contradicts B's norm that people don't work Sundays (epistemic/deontic bias).

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          Ex. 2: Biased question. A believes not-raining; B enters with dripping raincoat (evidence contradicting belief).

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            Ex. 3: Pure inquiry (NOVEL). Same evidence as ex. 2 but A has NO prior belief about the weather. Nandao is still felicitous.

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              Ex. 4a: Epistemic bias without evidence. Speaker believes room is empty but has no contextual evidence either way.

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                Ex. 5 ctx 1: Evidence + no belief → felicitous.

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                  Ex. 5 ctx 2: No evidence + no belief → infelicitous.

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                    Ex. 5 ctx 3: No evidence + epistemic bias → infelicitous.

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                      Ex. 6 ctx 1: Unexpected evidence → felicitous.

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                        Ex. 6 ctx 2: Expected evidence → infelicitous.

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                            theorem Zheng2025.evidential_bias_necessary :
                            ((List.filter (fun (x : NandaoDatum) => x.felicitous) allData).all fun (x : NandaoDatum) => x.evidentialBias) = true

                            Generalization 1: All felicitous nandao-Qs have evidential bias.

                            theorem Zheng2025.epistemic_bias_not_necessary :
                            (List.filter (fun (d : NandaoDatum) => d.felicitous && !d.epistemicBias) allData).length > 0

                            Generalization 2: Some felicitous nandao-Qs lack epistemic bias (the pure inquiry use).

                            theorem Zheng2025.epistemic_bias_not_sufficient :
                            (List.filter (fun (d : NandaoDatum) => d.epistemicBias && !d.felicitous) allData).length > 0

                            Generalization 3: Some infelicitous nandao-Qs have epistemic bias (epistemic bias is not sufficient).

                            theorem Zheng2025.unexpectedness_necessary :
                            ((List.filter (fun (x : NandaoDatum) => x.felicitous) allData).all fun (x : NandaoDatum) => x.unexpectedEvidence) = true

                            Generalization 4: All felicitous nandao-Qs have unexpected evidence.

                            theorem Zheng2025.dataset_size :
                            allData.length = 9

                            9 data points from 6 examples covering 4 conditions.

                            Zheng's evidential classification of nandao: requires contextual evidence for p — the lexical face of evidential_bias_necessary. (Formerly a fragment field; a particle's bias requirement is the analysis, so it lives here.)

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                              Zheng's classification: nandao does NOT require epistemic bias — compatible with a neutral epistemic state (pure inquiry use, ex. 3); the lexical face of epistemic_bias_not_necessary.

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                                Kernel nandaoFelicitous entails evidenceSupports, connecting the Theory predicate to nandaoContextualEvidence and the empirical generalization evidential_bias_necessary.

                                Zheng's layer assignments for the three Mandarin Q-particles in the [Day25] cartography [SAP [PerspP [CP ...]]]. The _ argument is unused: the layer is a theoretical overlay on the fragment particle, not a computed property of its lexical fields.

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                                  ma is the unmarked CP-layer particle: widest distribution (matrix, subordinated, quasi-subordinated).

                                  Zheng's classification of ba: speaker-bias (expects a positive answer, seeks confirmation), no evidential requirement; the unbiased ma imposes neither. The layer split mirrors this bias split — the unbiased particle is CP (ma_is_CP), the biased ones PerspP (ba_nandao_PerspP).

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                                    [BD20] fn. 11 explicitly cites the parallel Mandarin nandao analysis as the model for their kya: proposal. At the algebraic level, both particles share the same singleton presupposition: their sister question must denote a singleton-cell issue ([BD20] eq. 23). The cross-particle generalization is captured by inheriting the same Question.IsSingleton predicate — both kya: and nandao take a SingletonQuestion W as well-typed sister content.

                                    nandao is felicitous on a one-cell ("highlighted") polar — same canonical good-input case as kya:. The proof reduces to isSingleton_declarative, identical to the kya: side.

                                    theorem Zheng2025.nandao_kya_share_felicity {W : Type u} (p : Set W) :
                                    =

                                    Cross-particle agreement: the felicity conditions for kya: and nandao on a one-cell polar are the same theorem — both reduce to isSingleton_declarative. The convergence noted in [BD20] fn. 11 holds by construction.

                                    Bridge §2 and §4. Nandao's full felicity has two independent layers:

                                    These layers are independent concerns: Layer 1 is about semantic well-formedness of the sister content, Layer 2 is about discourse felicity in context. The integrated predicate composes them into a single statement, and the bridges below show that Layer 1 failure (e.g. a non-trivial two-cell polar) blocks felicity at the integrated level regardless of (k, u).

                                    Integrated nandao felicity: the conjunction of Layer 1 (singleton presupposition: alt Q = {p}) and Layer 2 (Kernel-bias check on the witness). The witness p is supplied externally so decidability is concrete; for the noncomputable choice from a SingletonQuestion use SingletonQuestion.witness.

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                                      Layer-1 projection: integrated felicity entails the §4 singleton presupposition.

                                      Layer-2 projection: integrated felicity entails the §2 Kernel-bias check on the witness.

                                      Layer-1 obstruction: a two-cell Hamblin polar polar p₀ (with non-trivial p₀) admits no integrated-felicity witness. No Kernel + Background can rescue it: the §4 type-level barrier propagates upward through the alt Q = {p} requirement. The structural reason polar two-cell questions are universally blocked from nandao licensing.

                                      Declarative reduction: on a one-cell sister declarative p, integrated felicity is exactly the §2 Kernel-bias check on p. The Layer-1 component holds trivially because alt (declarative p) = {p} (alt_declarative). This makes the §2 ↔ §5 connection explicit on the canonical felicitous case.

                                      Apply §5 to the canonical biased-use scenario from [Zhe25] ex. 2:

                                      The Kernel-side bias check is raincoat_nandao_felicitous (proven in Semantics/Modality/Kernel.lean from explicit cardinality counts on World4). Pairing it with the singleton presupposition yields integrated felicity at the §5 level. The §1 datum biasedUse records the same scenario as empirical data (evidentialBias = true, epistemicBias = true, felicitous = true); the bridge below makes the data ↔ theory correspondence explicit.

                                      §1 ex. 2 ↔ §5 integrated felicity: in the dripping-raincoat scenario with sister declarative isRaining, both layers of nandao felicity hold simultaneously. Reduces to raincoat_nandao_felicitous via nandaoFullFelicity_declarative_iff.

                                      Data ↔ theory bridge: the §1 datum biasedUse is felicitous and has both bias profiles set; the §5 integrated felicity holds for the matching Kernel scenario. The shared scaffold is the dripping-raincoat setup of [Zhe25] ex. 2 — empirical observation on the data side, derived prediction on the theory side.