Documentation

Linglib.Phenomena.Numerals.Studies.ClausWalch2024

@cite{claus-walch-2024}: Evaluative Valence Distinguishes "at most" from "up to" #

@cite{blok-2015} @cite{claus-walch-2024} @cite{kennedy-2015}

Empirical data from two experiments showing that "at most" and "up to" have identical truth conditions but divergent framing effects due to evaluative valence.

Experiment 1: Truth-Value Judgments #

Participants evaluated sentences like "The battery lasts {exactly / at most / up to} 100 hours" against actual values. Key finding: "at most 100" and "up to 100" have the same truth conditions (accepted when actual ≤ 100), confirming they are both Class B upper-bound modifiers.

Experiment 2: Framing Effects #

Participants evaluated modified numeral sentences in positive vs negative frames. Key findings:

This reversal is predicted by @cite{blok-2015}'s evaluative valence distinction:

Numeral modifier used in the experiments.

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      Framing condition in Experiment 2.

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          Truth-value judgment in Experiment 1.

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              A datum from Experiment 1: truth-value judgment for a modified numeral against an actual value.

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                    Experiment 1 data: "exactly 100"

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                          Experiment 1 data: "at most 100" — accepted iff actual ≤ 100

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                                Experiment 1 data: "up to 100" — accepted iff actual ≤ 100

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                                      All Experiment 1 data.

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                                        A datum from Experiment 2: endorsement rate for a modifier under a framing condition. Rates are on [0,1] scale.

                                        • modifier : Modifier
                                        • framingCondition : FramingCondition
                                        • endorsementRate :

                                          Endorsement rate (proportion of participants who endorsed)

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                                              "exactly" in standard (positive) framing: high endorsement.

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                                                "exactly" in reversed (negative) framing: lower endorsement.

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                                                  "up to" in standard (positive) framing: high endorsement.

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                                                    "up to" in reversed (negative) framing: lower endorsement.

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                                                      "at most" in standard (positive) framing: LOWER endorsement (reversed!).

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                                                        "at most" in reversed (negative) framing: HIGHER endorsement.

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                                                          All Experiment 2 data.

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                                                            "at most" and "up to" agree on all truth-value judgments.

                                                            Both are accepted when actual ≤ numeral, rejected when actual > numeral. This confirms they are both Class B upper-bound modifiers.

                                                            "at most" shows REVERSED framing: higher endorsement in negative context.

                                                            This is the key empirical finding of @cite{claus-walch-2024}.

                                                            "up to" shows STANDARD framing: higher endorsement in positive context.

                                                            "exactly" shows standard framing: higher endorsement in positive context.

                                                            "at most" and "up to" DIVERGE on framing direction despite same truth conditions.

                                                            This is the central result: evaluative valence, not truth conditions, determines framing behavior.

                                                            Connect the evaluativeValence field on Fragments.English.NumeralModifiers entries (the lexical claim) to the Exp2 endorsement rates (the empirical observation). The bridge witnesses that the lexical valence assignment predicts the framing direction observed in Exp2, and that the prediction divergence is fully explained by valence (truth conditions are held fixed).

                                                            "at most" has negative evaluative valence and shows reversed framing. The lexical valence (atMost.evaluativeValence = .negative) and the Exp2 reversal hold simultaneously.