Overall Acceptance Rates (Figure 4) #
Proportion of "Yes" (Accurate) responses by verb. Ordering: caused > made > forced.
Rates stored as percentages (Nat) to avoid heavy Mathlib imports.
An experimental observation: verb form paired with acceptance rate (%).
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- Phenomena.Causatives.causedRate = { verb := "caused", ratePct := 48 }
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- Phenomena.Causatives.madeRate = { verb := "made", ratePct := 40 }
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- Phenomena.Causatives.forcedRate = { verb := "forced", ratePct := 35 }
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Acceptance ordering: caused > made > forced (Figure 4).
Main Effect Coefficients (Model I, Table 2) #
Bayesian logistic regression with verb × SUFresidALT × INT × ALT.
Coefficients stored as (numerator, denominator=100) to avoid ℚ imports.
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- Phenomena.Causatives.instBEqCoefficient.beq x✝¹ x✝ = false
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A coefficient is reliable when its 95% CI excludes 0.
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- c.isReliable = (decide (c.lowerCI100 > 0) && decide (c.upperCI100 > 0) || decide (c.lowerCI100 < 0) && decide (c.upperCI100 < 0))
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- Phenomena.Causatives.coeff_sufResidAlt = { name := "SUFresidALT", estimate100 := 119, lowerCI100 := 89, upperCI100 := 150 }
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- Phenomena.Causatives.coeff_int = { name := "INT", estimate100 := 54, lowerCI100 := 28, upperCI100 := 81 }
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- Phenomena.Causatives.coeff_alt = { name := "ALT", estimate100 := -82, lowerCI100 := -111, upperCI100 := -55 }
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SUF has the largest absolute main effect.
ALT has a negative main effect (more alternatives → less acceptable).
Per-Verb Interaction Reliability (Table 1) #
Estimates of interaction intercepts by verb. Light grey = unreliable.
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made uniquely has a reliable SUFresidALT×INT interaction (Table 1).
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- Phenomena.Causatives.made_sufInt = { verb := "made", interaction := "SUFresidALT:INT", positive := true }
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All verbs share reliable SUFresidALT×ALT interaction.
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- Phenomena.Causatives.caused_sufAlt = { verb := "caused", interaction := "SUFresidALT:ALT", positive := true }
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- Phenomena.Causatives.made_sufAlt = { verb := "made", interaction := "SUFresidALT:ALT", positive := true }
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- Phenomena.Causatives.forced_sufAlt = { verb := "forced", interaction := "SUFresidALT:ALT", positive := true }
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All verbs share reliable INT×ALT interaction.
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- Phenomena.Causatives.caused_intAlt = { verb := "caused", interaction := "INT:ALT", positive := true }
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- Phenomena.Causatives.made_intAlt = { verb := "made", interaction := "INT:ALT", positive := true }
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- Phenomena.Causatives.forced_intAlt = { verb := "forced", interaction := "INT:ALT", positive := true }
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Acceptability Contrasts (examples 3-7) #
From the paper's examples showing non-interchangeability.
Acceptability judgment for a causative verb in context.
- acceptable : Acceptability
- marginal : Acceptability
- unacceptable : Acceptability
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- Phenomena.Causatives.instBEqAcceptability.beq x✝ y✝ = (x✝.ctorIdx == y✝.ctorIdx)
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A single acceptability judgment: verb + context + status.
- verb : String
- context : String
- judgment : Acceptability
- source : String
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Example (5): mentioning a habit (low sufficiency, low intention).
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- Phenomena.Causatives.ex5a = { verb := "caused", context := "go to gym by mentioning how habit helped", judgment := Phenomena.Causatives.Acceptability.acceptable, source := "ex. 5a" }
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- Phenomena.Causatives.ex5b = { verb := "made", context := "go to gym by mentioning how habit helped", judgment := Phenomena.Causatives.Acceptability.unacceptable, source := "ex. 5b" }
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- Phenomena.Causatives.ex5c = { verb := "forced", context := "go to gym by mentioning how habit helped", judgment := Phenomena.Causatives.Acceptability.unacceptable, source := "ex. 5c" }
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Example (7): holding child hostage (high sufficiency, high intention, low alternatives).
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- Phenomena.Causatives.ex7a = { verb := "caused", context := "go to gym by holding child hostage", judgment := Phenomena.Causatives.Acceptability.acceptable, source := "ex. 7a" }
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- Phenomena.Causatives.ex7b = { verb := "made", context := "go to gym by holding child hostage", judgment := Phenomena.Causatives.Acceptability.acceptable, source := "ex. 7b" }
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- Phenomena.Causatives.ex7c = { verb := "forced", context := "go to gym by holding child hostage", judgment := Phenomena.Causatives.Acceptability.acceptable, source := "ex. 7c" }
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In high-SUF, high-INT, low-ALT contexts, all three verbs are acceptable.
In low-SUF contexts, only cause is acceptable.