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Linglib.Theories.Pragmatics.RSA.Implementations.CumminsFranke2021

@cite{cummins-franke-2021}: Argumentative Strength of Numerical Quantity #

@cite{cummins-franke-2021} @cite{macuch-silva-etal-2024}

Formalizes the conference registration scenario (C&F pp. 7–8) demonstrating that semantic and pragmatic argumentative strength can reverse the ordering of "more than M" expressions. Also connects to Macuch @cite{macuch-silva-etal-2024}'s exam scenario on strategic quantifier choice.

Key Results #

  1. Semantic measure: "more than 110" > "more than 100" for goal "success" (because "more than 110" concentrates probability mass in goal-worlds)
  2. Pragmatic reversal: with 90% enrichment to "approximately M", the ordering flips — "more than 100" becomes pragmatically stronger
  3. Exam scenario: difficulty metric predicts quantifier weakening (all→most→some)

"More than M" is equivalent to lower-bound meaning at M+1.

moreThan(M)(n) = true ↔ n > M ↔ n ≥ M+1 = lowerBound(M+1)(n)

Uses the canonical moreThanMeaning from Numeral.Semantics.

@[reducible, inline]

Number of worlds: cardinalities 0 through 200

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    Goal: conference is a success iff more than 120 attend

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      Worlds where "more than 100" is true: 101.200 = 100 worlds

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        P("more than 100" | G): among goal worlds (121.200), all 80 satisfy >100

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          P("more than 100" | ¬G): among non-goal worlds (0.120), those >100 are 101.120 = 20

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            P("more than 110" | G): among goal worlds (121.200), all 80 satisfy >110

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              P("more than 110" | ¬G): among non-goal worlds (0.120), those >110 are 111.120 = 10

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                argStr("more than 100", success)

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                  argStr("more than 110", success)

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                    "More than 110" is semantically stronger than "more than 100" for the conference goal.

                    This is C&F's key semantic result: the more precise (higher M) expression has higher argStr because it has lower P(u|¬G).

                    Assertability of "more than 100" given G: 60 out of 80 goal worlds (101.160 enriched range intersected with 121.200)

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                      Assertability of "more than 100" given ¬G: 20 out of 121 non-goal worlds (enriched range 91.110 intersected with 0.120)

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                        Assertability of "more than 110" given G: 60 out of 80 goal worlds (111.170 enriched range intersected with 121.200)

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                          Assertability of "more than 110" given ¬G: 10 out of 121 non-goal worlds (enriched range 101.120 intersected with 0.120)

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                            pragArgStr("more than 100", success)

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                              pragArgStr("more than 110", success)

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                                theorem RSA.Implementations.CumminsFranke2021.wider_enrichment_weakens_argStr (pG pNotG_narrow pNotG_wide : ) (hG : 0 < pG) (hNarrow : 0 < pNotG_narrow) (hWide : 0 < pNotG_wide) (hWider : pNotG_narrow < pNotG_wide) :

                                With same assertability in G, the one with lower assertability in ¬G is pragmatically stronger. In this simplified model both have identical assertability ratios — the reversal depends on the enrichment asymmetry.

                                C&F's actual reversal uses a specific enrichment model where "more than 100" gets a wider enriched range. We verify the structural property: when P_a(u|¬G) increases (through wider enrichment), argStr decreases.

                                An exam stimulus: student got nCorrect out of nTotal questions right

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                                  Proportion correct as a rational

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                                    Compute argumentative difficulty for an exam stimulus.

                                    Difficulty for positive framing = 1 - proportion (higher proportion = easier to frame positively). Difficulty for negative framing = proportion (higher proportion = easier to frame negatively).

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                                      Which quantifiers from the extended set are truthful for a given proportion?

                                      Uses the standard extended semantics from Domains.Quantities:

                                      • "all": true iff count = n (proportion = 1)
                                      • "most": true iff count > n/2 (proportion > 0.5)
                                      • "some": true iff count ≥ 1 (proportion > 0)
                                      • "none": true iff count = 0 (proportion = 0)
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                                        As difficulty increases (proportion moves away from extremes), the strongest truthful quantifier weakens: all → most → some.

                                        For positive framing with decreasing proportion:

                                        • proportion = 1.0: all is truthful
                                        • proportion = 0.7: most is strongest truthful
                                        • proportion = 0.3: some is strongest truthful
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                                          Perfect score: "all" is available