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Literally ‘a jerk’: an experimental investigation of expressives in predicative position

Published online by Cambridge University Press:  09 January 2025

Filippo Domaneschi*
Affiliation:
Laboratory of Language and Cognition, University of Genoa, Genova, Italy
Bianca Cepollaro
Affiliation:
Faculty of Philosophy, Vita-Salute San Raffaele University, Milan, Italy
Isidora Stojanovic
Affiliation:
Department of Translation and Language Sciences, Pompeu Fabra University, Barcelona, Spain
*
Corresponding author: Filippo Domaneschi; Email: filippo.domaneschi@unige.it
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Abstract

The semantic literature on negative expressive terms, such as ‘bastard’ and ‘jerk’, converges on two assumptions. First, the content associated with expressives is attitudinal; more precisely, it amounts to the condition that the agent (typically the speaker) has a negative attitude toward the target (that is, the person referred to with the expressive). Second, the use of such terms is felicitous as long as this condition is satisfied, regardless of whether this information is in the contextual background or not. This assumption has been challenged by Cepollaro, Domaneschi and Stojanovic (2021, Synthese), whose experimental studies show that negative expressives impose constraints on the context, contrary to what had been taken for granted in the literature. In line with their work, our goal is to investigate the first assumption on empirical grounds. Our studies show that when person A calls person B ‘a jerk’, participants prefer the target-oriented interpretation (that B must have done something bad) to the attitudinal agent-oriented interpretation (that A has a negative attitude toward B). Additionally, our studies replicate the main results from Cepollaro, Domaneschi and Stojanovic, 2021, Synthese), as well as reveal some unexpected asymmetries between positive and negative evaluative terms, which were used as control items.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Example of a target item (Engl. Tr.) with the context sentences generating the five experimental conditions.

Figure 1

Figure 2. Mean acceptability rate for each of the five experimental conditions.

Figure 2

Table 1. Results of the Dwass–Steel–Critchlow–Fligner pairwise comparisons for participants’ acceptability rate of the target sentences between conditions

Figure 3

Figure 3. Mean acceptability rates of the target item in neutral condition (NEU), negative fillers and positive.

Figure 4

Figure 4. Example of a target item (Engl. Tr.) with the context sentences, the target sentence and the four options of the selection task.

Figure 5

Figure 5. Frequency of occurrences for each response choice in the selection task: Agent-Oriented option (AO), Target-Oriented option (TO), Intersubjective option 2 (Int_Sbj_2) and Intersubjective option 1 (Int_Sbj_1).

Figure 6

Figure 6. Frequency of occurrences for each response choice with the negative fillers.

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Figure 7. Frequency of occurrences for each response choice with the positive fillers.

Figure 8

Figure 8. Probability of choosing each of the four choices depending on story type, i.e., target stories versus negative filler stories.

Figure 9

Table 2. Frequency of occurrences of option choices TO, AO, Int_Sbj_1 and Int_Sbj_2 in target and negative filler stories

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Table 3. Estimated marginal means of the probability of response choice in negative filler and target stories

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Table 4. Details of model coefficients for the Multinomial GLM. Response Groups: A = TO; B = AO; C=Int_Sbj_1; D=Int_Sbj_2. Contrasts Coding, Groups to levels: 1 = negative fillers; 2 = target