@cite{scontras-2014} — The Semantics of Measurement #
@cite{chierchia-1998} @cite{krifka-1989} @cite{scontras-2014}
Empirical observations and bridge theorems for Scontras's quantizing noun typology (Ch. 3).
Key Empirical Claim #
The three classes of quantizing nouns differ systematically in their quantity-uniformity (QU) behavior:
Measure terms (kilo, liter): ALWAYS quantity-uniform. "Three kilos of rice + three kilos of rice = six kilos of rice" ✓
Container nouns (glass, box): AMBIGUOUS.
- CONTAINER reading: NOT quantity-uniform. "Three glasses of water + three glasses of water ≠ three glasses of water"
- MEASURE reading: IS quantity-uniform. "Three glasses of water + three glasses of water = six glasses of water" (as a volume measure: 3 glass-volumes + 3 glass-volumes = 6 glass-volumes)
Atomizers (grain, piece): NOT quantity-uniform. "Three grains of rice + three grains of rice ≠ three grains of rice"
Disambiguation Diagnostics #
Container nouns can be disambiguated between CONTAINER and MEASURE readings:
- Locative "in X": "three glasses of water in the pitcher" → CONTAINER (the three glasses are in the pitcher)
- Recipe context: "three glasses of water in the recipe" → MEASURE (three glass-volumes of water called for)
- Additive closure test: "I drank three glasses of water, then three more; that's six glasses total" → MEASURE (additive = QU)
Architecture #
This is a Phenomena file: it encodes empirical observations and proves that the Fragment entries (class assignments) correctly predict the Theory's QU predictions.
Dependency chain:
Theory (predictsQU) → Fragment (QuantizingNounEntry.nounClass) → Phenomena (this file)
An observed QU judgment for a quantizing noun in a specific context.
The quantizing noun being tested.
- complement : String
The mass noun complement (e.g., "rice", "water").
Which reading is active (for container nouns).
- sentence : String
The test sentence.
- additiveOK : Bool
Observed: is the additive closure test felicitous?
- isQU : Bool
Observed: is the predicate quantity-uniform?
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- Phenomena.Quantification.Scontras2014.instBEqQUObservation.beq x✝¹ x✝ = false
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"Three kilos of rice + three kilos of rice = six kilos of rice." Measure terms always pass the additive closure test.
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"Three glasses of water (CONTAINER) + three glasses of water ≠ three glasses." In the CONTAINER reading, glasses are individuated objects that don't sum.
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"Three glasses of water (MEASURE) + three glasses of water = six glasses." In the MEASURE reading, "glass" functions as a volume unit.
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"Three grains of rice + three grains of rice ≠ three grains of rice." Atomizers impose individuation; atoms don't sum back to atoms.
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The central bridge #
The Fragment assigns each noun a nounClass (from the Theory's
QuantizingNounClass). The Theory defines predictsQU mapping
class + reading to a QU prediction. We prove that this prediction
matches the empirical observation for EVERY example in our data.
This is the payoff of the Theories → Fragments → Phenomena architecture:
if someone changes a noun's class assignment in the Fragment, or changes
the predictsQU function in the Theory, the bridge theorems break.
The Theory's QU prediction matches the empirical observation for every example in our data set.
For measure term observations: the Theory predicts QU = true.
For atomizer observations: the Theory predicts QU = false.
For container noun observations: QU depends on the reading. CONTAINER → not QU; MEASURE → QU.
Fragment consistency #
We also verify that the Fragment entries used in our observations have
the same class assignment as the observations themselves. This catches
the case where someone defines glass.nounClass :=.atomizer in the
Fragment but uses .containerNoun in the observation.
The Fragment's glass entry matches the observation's class.
The Fragment's grain entry matches the observation's class.
The Fragment's drop entry matches the observation's class.
Additive closure aligns perfectly with QU: a noun passes the additive test iff it is quantity-uniform. This is not a definition — it's an empirical observation that the two diagnostics never diverge.
Disambiguation contexts for container nouns (Scontras §3.2.1).
A sentence context can force one reading of an ambiguous container noun:
- Locative PPs ("in the cupboard") → CONTAINER (the physical objects are located)
- Recipe/instruction context → MEASURE (amount of substance)
- Demonstratives ("those three glasses") → CONTAINER (individuated)
- Generic quantity context ("add three glasses") → MEASURE
The noun being disambiguated.
- contextType : String
Context type.
- sentence : String
Example sentence.
- forcedReading : Semantics.Probabilistic.Measurement.ContainerReading
Which reading the context forces.
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- Phenomena.Quantification.Scontras2014.instBEqDisambiguationContext.beq x✝¹ x✝ = false
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All disambiguation contexts involve container nouns (not measure terms or atomizers — only container nouns are ambiguous).
Locative/demonstrative contexts force CONTAINER; recipe contexts force MEASURE.
Combining disambiguation with QU prediction: recipe contexts yield QU, locative contexts yield non-QU.