Claus and Walch (2024): Numeral Modification and Framing Effects: exactly and at most vs up to #
A framing effect is a difference in choices between two descriptions of one outcome, one in terms of a goal-consistent count (lives saved) and one in terms of the rest (lives lost). Claus and Walch find, in German, that the effect survives genau 'exactly', and that it is standard under bis zu 'up to' but reversed under höchstens 'at most', in risky-choice and attribute framing alike. They argue that neither finding fits an account on which a frame matters only through the outcomes its reading leaves open, and propose that a choice follows the valence of the partial outcome a description makes salient, with at most but not up to making the complement set salient, following Blok.
Main statements #
outcomes_positive_eq_negative_iff: the two frames leave open the same outcomes just in case the numeral is read precisely, the premise of the arithmetic argument for their equivalence.no_reading_only_account: no account that sees a modifier only through its truth-conditional readings predicts the opposite effects of bis zu and höchstens.salienceEffect_eq_framingEffect: the salience and valence account predicts the direction of the framing effect in all six conditions.
Implementation notes #
- The German modifiers are the German Fragment's entries, and for salience bis zu and höchstens raise what Blok gives up to and at most; the paper calls them equivalents and reports Blok's contrast for German.
- A description makes the complement set salient when what it asserts is compatible with no
instance of the predicate, which is Blok's if any diagnostic. Blok's up to asserts only a
lower bound, on her scale of the whole numbers; with the upper bound of its Fragment reading
bis zu would pattern with höchstens (
salience_raised_bisZu). - The complement of a partial outcome has the opposite valence, as lives lost are to lives saved.
- A framing effect is the sign of the difference of the printed percentages; the significance tests are stored in the data module and not re-checked here.
References #
The scenarios #
The deadly-disease problem of risky-choice framing (Experiments 1 and 2) and the financial-allocation problem of attribute framing (Experiments 1 and 3).
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- ClausWalch2024.instDecidableEqScenario x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- One or more equations did not get rendered due to their size.
The individuals at stake, lives or projects.
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The number the sure option names in a frame.
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- ClausWalch2024.Scenario.deadlyDisease.number ClausWalch2024.Frame.positive = ClausWalch2024.livesSaved
- ClausWalch2024.Scenario.deadlyDisease.number ClausWalch2024.Frame.negative = ClausWalch2024.livesLost
- ClausWalch2024.Scenario.financialAllocation.number ClausWalch2024.Frame.positive = ClausWalch2024.successfulProjects
- ClausWalch2024.Scenario.financialAllocation.number ClausWalch2024.Frame.negative = ClausWalch2024.unsuccessfulProjects
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The percentages of Tables 1–2, under genau.
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The percentages of Tables 3–4, under bis zu and höchstens.
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- ClausWalch2024.Scenario.deadlyDisease.upper x✝¹ x✝ = (ClausWalch2024.table3 x✝¹ x✝).percent
- ClausWalch2024.Scenario.financialAllocation.upper x✝¹ x✝ = (ClausWalch2024.table4 x✝¹ x✝).percent
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The outcomes a frame leaves open #
The goal-consistent counts out of N that the sure option leaves open under a reading m, a
modifier of sets of amounts: the positive frame says m {p} of them, the negative frame m {q}
of the rest.
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- ClausWalch2024.outcomes m N p q ClausWalch2024.Frame.positive = {k : ℕ | k ≤ N ∧ k ∈ m {p}}
- ClausWalch2024.outcomes m N p q ClausWalch2024.Frame.negative = {k : ℕ | k ≤ N ∧ N - k ∈ m {q}}
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A comparison of the rest is the dual comparison of the goal-consistent count: at least 400 will die leaves open what at most 200 will be saved does.
The arithmetic argument for the equivalence of the frames presupposes a precise reading (p. 4145): the frames leave open the same outcomes just in case the numeral is read precisely.
The range account #
On [Man14]'s account the frames differ under a lower-bound reading because the positive one leaves open more lives saved (p. 4145); the paper extends the reasoning to an upper-bound reading, which should reverse the effect (p. 4147).
On the range account the frame whose outcomes reach higher draws more choices, so its framing effect is the sign of the most goal-consistent outcomes the positive frame leaves open less the most the negative frame does.
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The observed framing effects #
The framing effect in a condition is the sign of the positive frame's percentage of sure-option choices or approvals less the negative frame's.
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- ClausWalch2024.framingEffect percent = SignType.sign ((percent ClausWalch2024.Frame.positive).toRat - (percent ClausWalch2024.Frame.negative).toRat)
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Readings alone #
The Fragment entry of a modifier.
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Bis zu and höchstens have the same readings and opposite framing effects in either scenario (the significant interactions, p. 4148), so no account that sees a modifier only through its readings predicts both.
At the experiments' numbers the range account predicts no effect under genau, against the significant effects of Experiment 1 (p. 4147), and a reversed one under both upper bounds, right for höchstens and wrong for bis zu.
Salience and valence #
The valence of the partial outcome a frame names, as goal consistency (p. 4149).
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A description raising the possibilities P makes the complement set salient (-1) when
what it asserts is compatible with no instance of the predicate at all, and otherwise the
instances (1).
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- ClausWalch2024.salience P = if 0 ∈ ⋃₀ P then -1 else 1
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The valence of the partial outcome a frame makes salient, when the sure option names
number f with a modifier raising raise n with the number n, is the frame's valence,
reversed when the complement set is salient.
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- ClausWalch2024.appraisal raise number f = f.valence * ClausWalch2024.salience (raise (number f))
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On the salience and valence account the choice follows the appraisal of the salient partial outcome, so its framing effect is the sign of the difference of the two frames' appraisals.
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The possibilities a modifier raises with the number n, one for each of its readings in the
Fragment.
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- ClausWalch2024.raised w n = (fun (x : Modifier (Set ℕ)) => x {n}) '' Semantics.Denotes.denote w
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The salience and valence account predicts every framing effect, standard under genau and bis zu and reversed under höchstens, in both scenarios.
On the Fragment's readings the classification reproduces the paper's lists (p. 4149), with more than, at least and exactly making the instances salient and fewer than and at most the complement set.
The Fragment's reading of bis zu carries the upper bound Blok takes to be implicated, and
would make the complement set salient, against the paper's list and salience_bisZu.