The landscape of inferential evidentiality: Towards a unified framework

Inferential evidential markers (IEMs) in assertions indicate that the speaker inferred φ from a set of privileged knowledge (e.g. from facts that the speaker witnessed directly). As the intuition that ‘inferencing took place’ is typical for IEMs, a uniform analysis in terms of inferencing seems warranted. The attested logical properties of IEMs, however, can differ substantially from language to language, which led to a multitude of incommensurable accounts. I propose a unified underlying framework which (a) captures the implicitly assumed inferencing in IEMs and (b) can be modulated so as to capture IEMs of different logical strength in a common framework. The model builds on von Fintel + Gillies’ (2010, 2021) kernel model and can be adapted to account for German wohl, Gitksan =ima and Cuzco Quechua =chá.

Publication Details

Journal
Open Journal Systems (Global Science & Technology Forum)
Published
2025-09-09
DOI
https://doi.org/10.18148/sub/2025.v29.1221
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

The landscape of inferential evidentiality: Towards a unified framework

Open Journal Systems (Global Science & Technology Forum)
Geochemistry and Geologic Mapping
article

The landscape of inferential evidentiality: Towards a unified framework

article en

Abstract

Inferential evidential markers (IEMs) in assertions indicate that the speaker inferred φ from a set of privileged knowledge (e.g. from facts that the speaker witnessed directly). As the intuition that ‘inferencing took place’ is typical for IEMs, a uniform analysis in terms of inferencing seems warranted. The attested logical properties of IEMs, however, can differ substantially from language to language, which led to a multitude of incommensurable accounts. I propose a unified underlying framework which (a) captures the implicitly assumed inferencing in IEMs and (b) can be modulated so as to capture IEMs of different logical strength in a common framework. The model builds on von Fintel + Gillies’ (2010, 2021) kernel model and can be adapted to account for German wohl, Gitksan =ima and Cuzco Quechua =chá.

Open Journal Systems (Global Science & Technology Forum)
Reduced inequalities
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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