Documentation

Linglib.Phenomena.Polarity.Studies.Israel2001

@cite{israel-2001}: Minimizers, Maximizers, and the Rhetoric of Scalar Reasoning #

Formalizes the core contributions of Israel's Scalar Model of Polarity:

  1. The 2×2 taxonomy (Figure 1): polarity items classified by scalar value (high/low) × rhetorical force (emphatic/attenuating)
  2. Inverted polarity items (§3, Figure 3): maximizer NPIs (wild horses, all the tea in China) and minimizer PPIs (at the drop of a hat, for a pittance) — items whose scalar value is opposite to what the basic Scalar Model predicts
  3. The thematic resolution (§4): inversion tracks propositional role — facilitating roles (stimulus, instrument, reward) produce inverted items, impeding roles (patient, theme, resource) produce canonical items
  4. The pecuniary paradox: a red cent (NPI, resource = impeding) vs for peanuts (PPI, reward = facilitating) — same monetary domain, different propositional roles

Connection to linglib infrastructure #

The basic Scalar Model predicts four cells:

EmphaticAttenuating
NPIlow: a wink, inchhigh: much, long
PPIhigh: tons, utterlylow: sorta, rather

Emphatic items license maximally informative interpretations; attenuating items license minimally informative interpretations. NPI contexts are scale-reversing (DE); PPI contexts are scale-preserving (UE).

A polarity item datum with its Israel 2001 classification.

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      "I didn't sleep a wink." — canonical emphatic NPI (low, impeding)

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        "She didn't budge an inch." — canonical emphatic NPI (low, impeding)

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          "She is insanely good-looking." — canonical emphatic PPI (high)

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            "She's sorta clever." — canonical attenuating PPI (low)

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              "He's not all that clever." — canonical attenuating NPI (high)

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                Inverted items break the simple correlation between scalar value and polarity type. They are explained by propositional role (§4).

                "Wild horses couldn't keep me away." — inverted emphatic NPI (high, facilitating)

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                  "I wouldn't do it for all the tea in China." — inverted emphatic NPI (high, facilitating)

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                    "I wouldn't touch it with a ten-foot pole." — inverted emphatic NPI (high, facilitating)

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                      "Godfrey is scared of his own shadow." — inverted emphatic PPI (low, facilitating)

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                        "You could have knocked me over with a feather." — inverted emphatic PPI (low, facilitating)

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                          "We'll be back in a jiffy." — inverted emphatic PPI (low, facilitating)

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                            "He got Madonna to play for peanuts." — inverted emphatic PPI (low, facilitating)

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                              The pecuniary paradox (§3, examples 15–16): both a red cent and for peanuts denote small monetary values, but a red cent is an NPI and for peanuts is a PPI. The resolution: they occupy different propositional roles.

                              "He won't spend a red cent on your wedding." — canonical NPI, resource/expense

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                                "He got Madonna to play for peanuts." — inverted PPI, reward

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                                  All items from this paper with full classification.

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                                    @cite{israel-2001} §4 discusses Dowty's proto-roles (fn. 6) as a possible basis for the canonical/inverted distinction. The connection to EntailmentProfile is:

                                    This is NOT a function on ThetaRole (which is a derived convenience label in linglib). Instead, LikelihoodEffect is an independent propositional-role concept that correlates with proto-role entailments but cross-cuts theta labels in cases like the pecuniary paradox (where both arguments may be "themes" in a traditional analysis).

                                    Proto-Agent dominance predicts facilitating role.

                                    If an argument position has more P-Agent entailments than P-Patient entailments, the participant tends to facilitate event realization. This is a heuristic, not a theorem — the pecuniary paradox shows that propositional role can diverge from proto-role counts.

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                                      Fauconnier (1975b) noted that perception verbs allow dual scalar readings. "Eve didn't hear even the faintest noise" and "Eve didn't hear even the loudest noise" are both emphatic, but use different scales:

                                      The dual reading arises because perception is bicausal: it depends both on the stimulus's salience AND the perceiver's acuity.

                                      Scale type for the ambiguous-superlative phenomenon

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                                                @cite{israel-2001} §2 connects the Scalar Model to the Fauconnier-Ladusaw tradition of monotonicity-based licensing:

                                                Israel's key departure from Ladusaw: the relevant inferences need not be strictly logical — they can be pragmatic entailments within a scalar model. This is why the Scalar Model can handle cases that pure monotonicity misses.

                                                Israel's "scale-reversing" corresponds to formal DE (= Antitone). This is the bridge between the Scalar Model (pragmatic) and the Fauconnier-Ladusaw tradition (logical).

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