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Linglib.Phenomena.ScalarImplicatures.Studies.GeurtsPouscoulous2009

@cite{geurts-pouscoulous-2009} — Embedded Implicatures?!? #

@cite{geurts-pouscoulous-2009}

Geurts, B. & Pouscoulous, N. (2009). Embedded implicatures?!? Semantics & Pragmatics, 2(4), 1–34. https://doi.org/10.3765/sp.2.4

Two threads #

The paper makes two interlocking arguments, both formalized here:

  1. Empirical: four experiments show that mainstream conventionalist theories of scalar implicature (@cite{landman-1998}, @cite{levinson-2000}, @cite{recanati-2003}, @cite{chierchia-2004}, @cite{chierchia-2006}, @cite{fox-2007}, @cite{chierchia-fox-spector-2008}) — and even a minimal conventionalism that only claims local-SI readings exist — fail to predict the patterns observed. The embedded-implicature problem is traced back to @cite{cohen-1971}; @cite{landman-1998} is credited in the paper's footnote 2 with first noting the belief-report case.
  2. Methodological: introspection systematically inflates SI rates (Worries §2 + Exp 2 + Exp 3); "subtle intuitions are best classified as ipso facto suspect" (page 4:18). The verification paradigm is the more reliable instrument.

Paper structure (taxonomy followed by section blocks below) #

§Content
§1Experiments 1a and 1b — embedding-type variation (Table 2)
§2Worries about the paradigm — three a-priori concerns
§3Experiment 2 — paradigm bias on simple sentences
§4Monotonicity — sentences (25)–(27) for Exp 3
§5Experiment 3 — verification vs inference (Table 3)
§6Minimal conventionalism — auxiliary-assumption argument
§7Experiment 4 — ambiguity-detection task (Tables 4, 5)
§8Meanwhile in the Gricean camp… — competence-based explanation

Empirical data captured #

All numerical values in this file are taken directly from the paper's Tables 2–5 and §1.4 / §3.2 / §5.2 / §7.2. Pages are cited in the paper's article-prefixed format (4:N) used by S&P.

Statistical-test attribution #

The paper uses different statistical tests at different points:

Linglib integration #

The canonical some/all world model SomeAllWorld lives in Phenomena.ScalarImplicatures.Basic; this file uses it for the implicature-spine bridge. The §8 derivation routes through Implicature.Competence.processAlternative (Sauerland-style competence machinery). The think empirical condition is bridged to Embedded.Attitudes.AttitudeInterpretation.local_.

Subsequent literature (forward pointers) #

The most-important post-publication replies and extensions, none yet formalized in linglib:

These belong in their own Studies/ files; this paper's claims are formalized as historical-state-of-knowledge claims, per linglib's chronological-dependency rule.

Quantifier contexts tested in Experiments 3–4 (paper §4 sentences (25)–(27) and §5 setup).

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      Map a quantifier context to its monotonicity using the canonical Semantics.Entailment.Polarity.ContextPolarity enum.

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        Conventionalist variants distinguished by the paper. The paper itself draws the lexicalist vs syntax-based dichotomy (page 4:3, "Conventionalism comes in two main varieties: lexicalist and syntax-based") and crosses it with a mainstream vs minimal axis (page 4:24): mainstream variants commit to preferring the local SI in non-DE contexts; minimal variants only claim local-SI readings exist.

        Footnote 3 places Levinson 2000 with the lexicalists ("his position is closer to that of Landman and Chierchia 2004 than it is to Horn's").

        The file's three-way enum is the projection onto distinct prediction profiles: both mainstream variants predict preference (collapsed here into one prediction function); minimal makes no preference claim. The paper's underlying 2×2 (lexicalist/syntactic × mainstream/minimal) can be reconstructed from this projection plus the conventionalist literature.

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            @[implicit_reducible]
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            Does this variant predict a preference for local SIs in the given context? Mainstream variants predict preference in non-DE; minimal makes no preference claim.

            Caveat: this is a flat Bool collapsing several distinctions the paper preserves at page 4:5–4:6 and 4:19. Specifically: strong defaultism (Levinson 2000) vs conditional preference (Landman 1998 / Chierchia 2004) vs mere possibility (Chierchia 2004 on non-monotonic). For non-monotonic exactly two, the paper notes Geurts 2009 says local SI is not default, Van Rooij & Schulz 2004 say opinions are divided, and Chierchia 2004 calls it "merely possible". The flat Bool above collapses these to "non-DE → true". Refine if a downstream consumer needs the finer-grained predictions.

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              Convenience: the prediction shared by both mainstream variants (paper's running "mainstream conventionalism" of §1).

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                §1 Experiments 1a and 1b #

                Embedding types tested in Experiments 1a and 1b (paper §1).

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                    One row from Exp 1a-b results (paper Table 2). Rates are integer percentages; the paper reports proportions (.93 = 93%).

                    • embedding : EmbeddingType
                    • localSIRate :

                      Percentage of participants endorsing the local-SI inference

                    • n :
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                        Look up the local-SI rate for a given embedding type. Returns none if the embedding wasn't tested. Use this for queries where non-existence should be observable.

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                          Local-SI rate for an embedding type known to be present in results, defaulting to 0 for untested embeddings. The 0-default is deliberate for use in derived aggregates (thinkAvgRate, complexConditionRates) where presence is ensured by the data tables; for general queries use lookupRate?.

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                            Method (paper §1.1–1.3): Exp 1a tested some embedded under think, deontic must, and the universal quantifier all; Exp 1b under think and want. Inference-task questionnaires; same design as Figure 1 ("Emilie says: ‘Betty thinks that Fred heard some of the Verdi operas.' Would you infer from this that Betty thinks that Fred didn't hear all the Verdi operas?").

                            Experiment 1a results (paper Table 2, n = 30, French-speaking students at the École Nationale des Arts Décoratifs in Paris).

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                              Experiment 1b results (paper Table 2, n = 31, same population).

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                                Cross-experiment average for think (paper §1.4 page 4:9): "local SIs were relatively frequent with think (57.5% across the two experiments)." Derived directly from Table 2 via lookupRate.

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                                  All embedded (i.e. non-simple) condition rates from Exp 1a-b.

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                                    Mean rate across all complex (i.e. embedded) conditions in Exp 1a–b (paper §1.4 page 4:9): "complex conditions yielded local SIs at a much reduced mean rate of 35%." Derived from complexConditionRates: (50 + 27 + 3 + 65 + 32) / 5 = 35.4.

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                                      Paper's headline finding (page 4:9): SI rates vary from 3% (must, Exp 1a) to 94% (simple, Exp 1b) — a 91-point range. Anchored in the data tables rather than literal arithmetic. This contradicts the conventionalist claim that local SIs occur "systematically and freely in arbitrarily embedded positions."

                                      Among embedded conditions, only think shows substantial local-SI endorsement (averaging 57.5% across both experiments). Other embeddings — all (27%), must (3%), want (32%) — fall below 35%, the mean of complex-condition rates that the paper carries forward as the disconfirmation baseline (page 4:9).

                                      §1.4 Discussion: refuting the implausibility defense #

                                      Paper §1.4 (pages 4:9–4:13) anticipates the conventionalist response that low embedded-SI rates are due to implausibility of the strengthened readings, and refutes it with three objections:

                                      A paper §1.4 example of a bona fide scalar implicature that arises despite the strengthened reading being independently implausible (i.e., the implausibility defense, if correct, would predict the SI not to arise — but it does). Paper (12)–(14) and (15)–(17).

                                      • utterance : String

                                        The utterance (verbatim from paper).

                                      • siInference : String

                                        The SI that arises despite implausibility.

                                      • implausibilityReason : String

                                        Why the SI's content is independently implausible.

                                      • siArises : Bool

                                        Paper claim: the SI nevertheless arises.

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                                          §1.4 Objection #2 counterexamples: SIs that arise despite their strengthened readings being implausible. Page 4:11, examples (12)–(14) plus the "Harry hopes" parallels (15)–(17). All five entries have siArises := true — the data IS the refutation; no separate theorem needed.

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                                            §1.4 Objection #3: the implausibility defense predicts a gradient (must << all << want << think) of SI rates aligning with implausibility ordering. Paper page 4:12 example (18) gives three readings (18a-c) that, by the paper's intuitions, are roughly equally plausible — yet their empirical SI rates differ markedly (think 57.5%, all 27%, must 3%): a 54.5pp spread the implausibility defense cannot ground. The data itself is the refutation.

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                                              §2 Worries about the paradigm #

                                              Paper §2 (pages 4:14–4:16) introduces three a-priori reasons to suspect the inference paradigm exaggerates SI rates. These motivate Exp 2.

                                              Paper §1.4 page 4:13 informal follow-up: "we asked 31 Dutch philosophy students to decide if the following inference is valid: (19) Mary has to put some but not all of the stamps in a blue envelope. SO: She may not put all the stamps in the blue envelope. 27 (or 89%) of our students said that the inference was valid."

                                              Function: shows that the logical form of the conventionalist inferences is not intrinsically difficult to evaluate — so high inference-task rates can't be dismissed as logical-difficulty artifacts, and low inference-task rates aren't blocked by logical form.

                                              • n :
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                                              • endorsementRate :
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                                                  The Mary-stamps follow-up data (page 4:13). 27/31 = 89% endorsement defuses the "logical-difficulty" alternative explanation for the low embedded-SI rates of Exp 1a-b.

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                                                    @cite{chater-oaksford-1999}'s syllogism meta-analysis (paper §2 Worry #3, page 4:15): people endorse the valid All A → All C syllogism ~90% of the time across independent experiments, and endorse three superficially-similar invalid syllogisms ~63% on average. The 27pp valid-vs-invalid gap is the documented surface-similarity confound that motivates the paradigm-bias hypothesis.

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                                                        §3 Experiment 2 #

                                                        Method (paper §3.1, page 4:16): 29 Dutch-speaking students at the University of Nijmegen, within-subjects: same Dutch equivalent of Some of the B's are in the box on the left (24) tested in both inference and verification tasks (counterbalanced order: 15 inference- first, 14 verification-first).

                                                        Stats (paper §3.2, page 4:17): no order effect (Fisher's Exact test, inference p = .45, verification p = 1). Inference rate (62%) vs verification rate (34%) significantly different (McNemar's test, n = 29, p < .01). Filler control accuracy 97% (paper specifies this is for verification fillers, ruling out positive response bias on the verification side).

                                                        Aggregate Exp 2 data (paper §3.2).

                                                        • inferenceRate :
                                                        • verificationRate :
                                                        • verificationFillerAccuracy :
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                                                            Exp 2 results from paper §3.2. The 28pp inference-vs-verification gap (62% vs 34%) is the load-bearing inflation estimate the paper carries into Exp 3; the 97% verification-filler accuracy rules out a positive response bias on the verification side. The data IS the finding — no separate trivial-arithmetic theorems are needed.

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                                                              §4 Monotonicity setup #

                                                              Paper §4 (pages 4:18–4:19) introduces the conventionalist predictions tested in Exp 3:

                                                              Exp3Row.verificationPred and inferencePred encode the bracketed predictions of Table 3 (page 4:22), which the paper attributes to the stronger version of mainstream conventionalism (i.e. local SIs are preferred in all non-DE environments). The flat conventionalistPredictsLocalSI collapses the "preferred"/"possible"/"divided"/"not default" distinctions the paper preserves; consult the docstring on predictsLocalSI before reusing.

                                                              §5 Experiment 3 #

                                                              Method (paper §5.1, page 4:20): 26 first-year humanities students at the University of Nijmegen, within-subjects: same five sentences (25)–(27) tested in both verification and inference tasks. Verification block first, then an unrelated experiment of about 20 minutes, then the inference block. Verification used six items (since exactly two had two verification conditions); inference used five.

                                                              Stats (paper §5.2, page 4:23): McNemar's with Bonferroni correction — all p < .005, not all p < .001, more than one p < .0005, not more than one p < .05, exactly two p < .005 (both conditions).

                                                              One row of Exp 3 results (paper Table 3, page 4:22). The two exactly two verification trials correspond to the two situations described at page 4:21: one in which two squares are connected to some-but-not-all of the circles while one square is connected to all (mainstream conventionalism predicts "true"), and the converse (mainstream predicts "false"). The bracketed numbers in Table 3 are the stronger-version-of-mainstream-conventionalism trend predictions captured here as verificationPred / inferencePred.

                                                              • quantifier : QuantifierContext
                                                              • verificationTrueRate :

                                                                % saying "true" in verification task.

                                                              • verificationPred : Bool

                                                                Conventionalist predicted trend for verification ("should say true"?) per Table 3.

                                                              • inferenceRate :

                                                                % endorsing local-SI inference task.

                                                              • inferencePred : Bool

                                                                Conventionalist predicted trend for inference ("should endorse"?) per Table 3.

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                                                                  Experiment 3 results (paper Table 3, page 4:22, n = 26).

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                                                                    Verification shows zero local SIs in UE contexts (100% "true", accepting the classical reading), directly contradicting mainstream conventionalism's prediction (Table 3 column predicts "false").

                                                                    Verification rates perfectly track the classical (non-SI) truth value: when the classical reading is true, verification ≥ 96%; when false, ≤ 4%. Participants do not deploy the local-SI reading at all in the verification task.

                                                                    Conventionalism's predicted trend for verification is falsified across all non-DE conditions: where Table 3 predicts "verification should be 0" (i.e. "false"), the rate is overwhelmingly 100.

                                                                    Inference rates clustered around chance (paper §5.2 page 4:23: "all rates, for DE and non-DE items alike, clustered around chance level, give or take 12%" — i.e. roughly 38–62%).

                                                                    Inference rates from DE rows of exp3Results.

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                                                                      Inference rates from non-DE rows of exp3Results.

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                                                                        Mean inference rate in DE conditions, derived from exp3Results. Paper §5.2 reports 45% from raw counts; integer arithmetic over the filtered rows gives (58 + 46) / 2 = 52. The discrepancy reflects rounding in Table 3's reported proportions, not a substantive difference.

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                                                                          Mean inference rate in non-DE conditions, derived from exp3Results. Paper §5.2 reports 51%; integer arithmetic yields 52 (see deInferenceMean docstring).

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                                                                            The paper's "fails to coalesce into the predicted pattern" disconfirmation (paper §5.2 page 4:23): both DE and non-DE inference means lie within the "around 50%, give or take 12%" band the paper explicitly delimits. The conventionalist-predicted pattern (non-DE preference, DE no-preference) requires non-DE >> DE; instead both means sit near chance. Note: paper reports 51%/45% from raw counts; this file computes 52%/52% from rounded Table-3 percentages — the qualitative "both within ±12 of 50%" claim survives either way.

                                                                            After Exp 3 establishes the ~50% paradigm baseline in inference tasks, the rates from Exp 1a–b for all (27%) and want (32%) are below baseline — they may be entirely paradigm artifacts. Only think (57.5% averaged) survives correction.

                                                                            §6 Minimal conventionalism setup #

                                                                            Paper §6 (pages 4:23–4:24) sets up Exp 4 by analyzing what minimal conventionalism (the weakest form: "local-SI readings exist") would predict. The argument:

                                                                            1. In its bare form, minimal conventionalism makes no predictions (claim that (28a) "All the customers shot at some of the salesmen" may or may not be read as (28b) "All the customers shot at some but not all of the salesmen" cannot be falsified).
                                                                            2. With the auxiliary assumption that native speakers can detect the readings their grammar makes available, minimal conventionalism does predict: in a situation that falsifies (28b), participants should claim either that (28a) is false or that it's ambiguous.
                                                                            3. Exp 4 tests this by adding a "could be either" response option to Exp 3's verification task.

                                                                            §7 Experiment 4 #

                                                                            Method (paper §7.1, pages 4:25–4:26): 22 first-year linguistics students at University College London. Materials: Exp 3's verification items translated to English, plus a third response option ("could be either"), plus 5 ambiguous control sentences. 30 trials total in 10 pseudo-random orders. Conducted in a classroom with oral instructions to ensure participants understood the notion of ambiguity (using calibration items like "Visiting relatives can be boring" and "The girl hit the boy with the telescope").

                                                                            Stats (paper §7.2, page 4:26): Wilcoxon's Exact test W = 208, n = 20, p < .0001 (n=20 reflects 2 exclusions from the 22 UCL participants) for the difference between ambiguous-control rates (~70%) and critical non-DE "could be either" rates (~6%).

                                                                            Response rates for critical and DE control items in Exp 4 (paper Table 4, page 4:27). The "either" rate is the load-bearing diagnostic: minimal conventionalism predicts it should be high in non-DE cases.

                                                                            • quantifier : QuantifierContext
                                                                            • trueRate :

                                                                              % saying "true"

                                                                            • falseRate :

                                                                              % saying "false"

                                                                            • eitherRate :

                                                                              % saying "could be either"

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                                                                                Experiment 4 results (paper Table 4, page 4:27, n = 22).

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                                                                                  One ambiguous control item from Exp 4 (paper Table 5, page 4:27). Sentences are quoted exactly as in the paper.

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                                                                                  • eitherRate :

                                                                                    % saying "could be either"

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                                                                                      Ambiguous control items (paper Table 5, page 4:27). Sentences are verbatim — note paper uses the circles and the squares with definite articles in (29a), (29c)–(29e).

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                                                                                        Either-rates from genuineAmbiguityResults, extracted for clean arithmetic in genuineAmbiguityMean.

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                                                                                          Mean genuine-ambiguity detection across Table 5 items: (82+73+59+77+59)/5 = 70. Paper §7.2 page 4:26 reports 70%.

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                                                                                            Total non-DE trials in Exp 4: 4 critical items × 22 participants (paper §7.2 page 4:26 footnote on the 9-of-88 calculation).

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                                                                                              Total non-DE trials in Exp 4 consistent with minimal conventionalism (paper §7.2 page 4:26): "only 9 out of 88 responses".

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                                                                                                The §7.2 disconfirmation of minimal conventionalism: critical-item "either" rates (Table 4 non-DE rows) all sit at or below 14%, while genuine-ambiguity controls (Table 5) average 70%. Participants reliably detect real ambiguities but not the ones conventionalism predicts.

                                                                                                Total fraction of non-DE responses consistent with minimal conventionalism (paper §7.2 page 4:26): "only 9 out of 88 responses (i.e. 10%)". Stated as a ℚ inequality — the actual value is 9/88 ≈ 10.227%, which rounds to 10% per the paper's footnote 10.

                                                                                                §8 Gricean camp #

                                                                                                Paper §8 (pages 4:28–4:29) sketches the Gricean explanation for the one embedded condition that did yield elevated SI rates: think (57.5%, the only one to survive Exp 3's paradigm correction).

                                                                                                The Gricean derivation proceeds in two steps. First, the global SI for "Bob believes Anna ate some" yields the primary implicature (32):

                                                                                                (32) ¬K(Bob believes Anna ate all)

                                                                                                Second, if Bob is competent on whether Anna ate all (33):

                                                                                                (33) Bob believes all ∨ Bob believes ¬all

                                                                                                then (32) + (33) entail (34): "Bob believes Anna didn't eat all." This looks like a local SI but is derived from global pragmatics + competence. The same derivation does not generalize to universal quantifiers (paper example (35)–(38)) because the analogous auxiliary (38) is a collective uniformity assumption "considerably less plausible" than (33).

                                                                                                Footnote 11 (page 4:28) lists the references for the Gricean derivation of seemingly-embedded SIs that the §8 argument is built on: @cite{recanati-2003}, @cite{sauerland-2004}, @cite{vanrooij-schulz-2004}, @cite{geurts-2006}, @cite{geurts-2009}, @cite{russell-2006}, @cite{spector-2006}. None of @cite{russell-2006}, @cite{spector-2006}, or @cite{geurts-2006} are formalized in linglib yet.

                                                                                                The §8 derivation routed through the canonical Sauerland-style competence machinery in Implicature.Competence. The paper's claim is that given the speaker has a determinate negative stance about the alternative (here .disbelief — speaker believes ¬(Bob-believes-all)) and the competence assumption (33), the strong implicature is derived. The spine's processAlternative true .disbelief produces the strong-derived flag exactly when these conditions hold; this theorem exhibits the spine's outcome_ii_strong machinery applied to the §8 think-reading derivation.

                                                                                                theorem Phenomena.ScalarImplicatures.Studies.GeurtsPouscoulous2009.gricean_derivation_for_universals_requires_uniformity {Customer Salesman : Type} (Shot : CustomerSalesmanProp) (globalSI : ¬∀ (c : Customer) (s : Salesman), Shot c s) (uniformity : (∀ (c : Customer) (s : Salesman), Shot c s) ∀ (c : Customer), ¬∀ (s : Salesman), Shot c s) (c : Customer) :
                                                                                                ¬∀ (s : Salesman), Shot c s

                                                                                                The same derivation chain applied to universal quantifiers (paper §8 (35)–(38)). For "All the customers shot at some of the salesmen" the Gricean primary implicature is (36) "Not all the customers shot at all the salesmen", i.e. ¬ ∀ c s, Shot c s. The conventionalist construal (37) is "All the customers shot at some but not all of the salesmen (hence, none of the customers shot at all the salesmen)". The auxiliary needed to bridge (36) → (37)'s parenthetical is (38):

                                                                                                Either all the customers shot at all the salesmen, or none of the customers shot at all the salesmen.

                                                                                                This is a collective uniformity assumption — (∀c∀s, Shot c s) ∨ (∀c, ¬∀s, Shot c s) — not a per-customer competence. The paper's substantive claim (page 4:29) is that (38) is "considerably less plausible than (33)": (33) only stipulates that one opinion-holder (Bob) has a determinate stance, whereas (38) requires that every customer's behavior partition the same way (all-shot-all or none-shot-all, with no in-between distribution). Implausibility is not formalized; this theorem captures the formal half of the §8 argument, licensing the gap between "the inference goes through under (38)" and "(38) is independently warranted."

                                                                                                Bridge: ∅-condition SI as Implicature SomeAllWorld #

                                                                                                Wraps the canonical some-derived SI as an Implicature value over the canonical SomeAllWorld model from Phenomena.ScalarImplicatures.Basic, exercising the spine in Defs.lean and the diagnostics in Diagnostics.lean.

                                                                                                The neo-Gricean SI derived from some students passed in a UE context (paper §1's ∅-condition). Mechanism is the Sauerland Standard Recipe / neo-Gricean derivation; the SI content is notUniversal (= the canonical "not all" inference from SomeAllWorld).

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                                                                                                  The SI is reinforceable: there's an assertion-world (.all) where the assertion holds but the inferred content fails — so adding "…but not all" is non-redundant.

                                                                                                  The SI is cancellable (Sadock 1978's diagnostic), via the spine's IsReinforceable.toCancellable.

                                                                                                  The neo-Gricean SI for somePassedSI corresponds to the ∅-condition tested in Experiments 1a-b, where the empirical SI endorsement rate is 93% (Exp 1a) and 94% (Exp 1b). The spine bridge is anchored in the data.

                                                                                                  Bridge: think condition ↔ AttitudeInterpretation.local_ #

                                                                                                  The §1 think condition tests whether participants endorse the attitude-embedded SI ("Betty thinks Fred didn't hear all the Verdi operas" inferred from "Betty thinks Fred heard some of the Verdi operas"). This is exactly the AttitudeInterpretation.local_ reading formalized in Embedded/Attitudes.lean: the strengthened some sits inside Betty's belief-content. The cross-experiment 57.5% endorsement rate measures how often participants compute local_ rather than global.

                                                                                                  The paper's think condition tests endorsement of the local attitude reading, which Embedded/Attitudes.lean formalizes as AttitudeInterpretation.local_. The empirical rate (57.5%) measures the local-vs-global preference; the paper's §8 Gricean derivation explains it via Bob-style competence on a single opinion-holder.

                                                                                                  §Conclusion: Chierchia et al. (39) #

                                                                                                  Paper §Conclusion (page 4:30) example (39) is the marked contrastive construction @cite{chierchia-fox-spector-2008} cite as evidence for embedded SI: "If you take a salad OR desert, you pay $20; but if you take BOTH there is a surcharge" (paper's typo "desert" preserved). Geurts & Pouscoulous's punchline: such examples are strongly marked, in which "the contrast between or and both is essential" — not generic embedded-SI evidence. The paper's verdict (page 4:31) is that mainstream conventionalism's defense "primarily relies on data that are strongly marked, like (39), for example."

                                                                                                  Appendix #

                                                                                                  Sample stimulus pairs from Experiments 1a-b live in the paper's appendix (page 4:31) and the separately available background-materials file (doi:10.3765/sp.2.4a); they are not reproduced here.