Documentation

Linglib.Phenomena.TenseAspect.Studies.KennedyLevin2008

Degree Achievements #

@cite{kennedy-levin-2008}

@cite{kennedy-levin-2008}: the telicity of degree achievements is derived from the boundedness of the underlying adjectival scale. This bridge file verifies that the fragment annotations are consistent with that derivation.

§1 — Per-verb derived vendlerClass verification §2 — Adjective-verb scale agreement §3 — Telicity diagnostic predictions §4 — Pipeline convergence §5 — Substrate-level demonstration: K&L 2008 measure-of-change m_Δ (eq. 25) → Beavers' affectedness typeclass chain. First production [HasMeasureFunction] instances in linglib; validates the auto- synthesis arrow [HasMeasureFunction] → HasScalarResult → IsXAffected end-to-end on closed-scale (straighten) and open-scale (widen) toys.

For each degree achievement verb, the vendlerClass stipulated in the fragment matches what degreeAchievementScale.defaultVendlerClass derives.

For each adj-verb pair, the verb's degreeAchievementScale.scaleBoundedness matches the adjective's scaleType. This ensures the verb inherits the correct scale classification from its adjectival base.

hot (adj, open) ↔ boil (verb, closed scale for boiling point). Note: boil reaches a closed endpoint (boiling point) even though the base adjective "hot" has an open scale. @cite{kennedy-levin-2008} notes that the verb selects the relevant portion of the scale.

Closed-scale DAs accept "in X" (telic prediction). Open-scale DAs accept "for X" (atelic prediction).

LicensingPipeline.toBoundedness applied to the verb's degreeAchievementScale matches LicensingPipeline.toBoundedness applied to the verb's vendlerClass.

K&L 2008's measure-of-change function m_Δ (eq. 25), formalised in Theories/Semantics/Degree/MeasureFunction.lean, plugs directly into Beavers' affectedness typeclass chain (Theories/Semantics/Events/Scalar/Affectedness.lean).

This section provides the **first production `[HasMeasureFunction]`
instances in linglib** — toy domains for *straighten* (closed
scale, max = 1) and *widen* (open scale, no max) — and demonstrates
that the auto-synthesis arrow
`[HasMeasureFunction α δ Time] → HasScalarResult α δ (Event Time)`
fires structurally. Downstream `IsQuantizedAffected.mk'` /
`IsNonQuantizedAffected.mk'` smart constructors find the
`HasScalarResult` instance by typeclass resolution without explicit
naming.

The variable-telicity prediction (K&L §7.3.3) is realised
structurally: closed-scale DAs construct an `IsQuantizedAffected`
instance at `g_φ = scale max`; open-scale DAs only have an
`IsNonQuantizedAffected` instance available (no Quantized witness
exists because the scale lacks a maximum).

Toy types `RodToy` and `GapToy` are used (rather than fragment
`Rod`/`Gap` if those exist) to keep the substrate demonstration
self-contained. The fragment-level §1-4 results above are
independent of this substrate work. 
@[reducible, inline]

Toy time type for the substrate demonstration.

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    @[reducible, inline]

    Toy patient type for the substrate-level straighten demonstration. The actual identity of rods is irrelevant; what matters is the measure of straightness over time.

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      @[implicit_reducible]

      Toy straight measure function on a closed scale ( with max = 1, representing complete straightness per K&L footnote 8 / eq. 20). Returns the constant 1 — every rod is fully straight at every time, so θ_straighten_toy (defined below) is provably Quantized at g_φ = 1 without case analysis on rod-time pairs.

      A real K&L instantiation would track actual straightness as a function of rod geometry and time.

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      @[implicit_reducible]

      Companion HasLatentScalestraighten commits to the straightness scale, making rods force-recipients on it per Beavers (60c). Manual call to HasLatentScale.ofHasMeasureFunction since auto-synthesis isn't available (δ-inference issue documented in Degree/MeasureFunction.lean).

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      straighten's θ-relation: rod x is straightened in event e iff x has straightness 1 at the end of e. K&L eq. 20: "x undergoes a change from non-maximal to maximal straightness". The toy entails only the maximal-end condition.

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        straighten is Quantized at g_φ = 1 (K&L's telic prediction for closed-scale DAs): every straightening event ends with the patient at maximum straightness.

        @[implicit_reducible]

        The full IsQuantizedAffected instance for straighten. The HasScalarResult parameter is found automatically by typeclass synthesis from the [HasMeasureFunction] instance above — this is the load-bearing demonstration of the K&L → Beavers auto-synthesis arrow.

        The forget argument is fun _ _ _ => trivial because the HasLatentScale instance has trivial content (True) per the ofHasMeasureFunction definition.

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        @[reducible, inline]

        Toy patient type for substrate-level widen.

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          @[implicit_reducible]

          Toy wide measure function on an open scale ( with no maximum, per K&L §7.3.3). Returns t + 1 for time t — any monotone function works for the substrate demonstration; the key fact is that the SCALE has no maximum, so no specific g_φ can witness Quantized.

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          widen's θ-relation: gap x widens in event e iff x has SOME width at the end of e. K&L's atelic "comparative" reading — no specific final value entailed.

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            widen is NonQuantized: every widening event ends with the patient at SOME degree on the wide scale. K&L's atelic "comparative" reading.

            The IsNonQuantizedAffected instance for widen.

            Per K&L §7.3.3: NO IsQuantizedAffected θ_widen_toy instance is available (or constructible) — the open scale has no maximum to instantiate g_φ. The substrate correctly refuses to assert Quantized affectedness for open-scale DAs, exactly as K&L predicts.

            This is the substrate's empirical bite: the typeclass hierarchy structurally distinguishes closed-scale DAs (Quantized) from open-scale DAs (NonQuantized only), matching K&L's variable telicity prediction without ad-hoc per-verb stipulation.

            The K&L 2008 → Beavers 2011 telicity correspondence at the AffectednessDegree level: closed-scale DAs (straighten) project to .quantized (telic); open-scale DAs (widen) project to .nonquantized (atelic). The strict ordering encodes K&L's variable-telicity prediction structurally.