Research in experimental philosophy has increasingly been turning to corpus methods to produce evidence for empirical claims, as they open up new possibilities for testing linguistic claims or studying concepts across time and culture. The present article reviews the quasi‐experimental studies that have been done using textual data from corpora in philosophy, with an eye for the modeling and experimental design that enable statistical inference. I find that most studies forego comparisons that could control for confounds, and that only a little less than half employ statistical testing methods to control for chance results. Furthermore, at least some researchers make modeling decisions that either do not take into account the nature of corpora and of the word‐concept relationship, or undermine the experiment's capacity to answer research questions. I suggest that corpus methods could both provide more powerful evidence and gain more mainstream acceptance by improving their modeling practices.
Does self-control require willpower? The question cuts to the heart of a debate about whether self-control is identical with some psychological process internal to the agents or not. Noticeably absent from these debates is systematic evidence about the folk-psychological category of self-control. Here, we present the results of two behavioral studies (N = 296) that indicate the structure of everyday use of the concept. In Study 1, participants rated the degree to which different strategies to respond to motivational conflict exemplify self-control. Participants distinguished between intra-psychic and externally-scaffolded strategies and judged that the former exemplified self-control more than the latter. In Study 2, participants provided various solutions to manage motivational conflict and rated their proposals on effectiveness. Participants produced substantially more intra-psychic strategies, rated them as more effective, and advised them at a higher rate than externally-scaffolded strategies. Taken together, these results suggest that while people recognize a plurality of strategies as genuine instances of self-control, purely internal exercises of self-control are considered more prototypical than their externally-scaffolded counterparts. This implies a hierarchical structure for the folk psychological category of self-control. The concept encompasses a variety of regulatory strategies and organizes these strategies along a hierarchical continuum, with purely intra-psychic strategies at the center and scaffolded strategies in the periphery.
Abstract. When performing a conceptual analysis of a concept, philosophers are interested in all forms of expression of a concept in a text-be it direct or indirect, explicit or implicit. In this paper, we experiment with topic-based methods of automating the detection of concept expressions in order to facilitate philosophical conceptual analysis. We propose six methods based on LDA, and evaluate them on a new corpus of court decision that we had annotated by experts and non-experts. Our results indicate that these methods can yield important improvements over the keyword heuristic, which is often used as a concept detection heuristic in many contexts. While more work remains to be done, this indicates that detecting concepts through topics can serve as a general-purpose method for at least some forms of concept expression that are not captured using naive keyword approaches.
The rise of big digital data is changing the framework within which linguists, sociologists, anthropologists, and other researchers are working. Semiotics is not spared by this paradigm shift. A data-driven computational semiotics is the study with an intensive use of computational methods of patterns in human-created contents related to semiotic phenomena. One of the most promising frameworks in this research program is the Semantic Vector Space (SVS) models and their methods. The objective of this article is to contribute to the exploration of the SVS for a computational semiotics by showing what types of semiotic analysis can be accomplished within this framework. The study is applied to a unique body of digitized artworks. We conducted three short experiments in which we explore three types of semiotic analysis: paradigmatic analysis, componential analysis, and topic modelling analysis. The results reported show that the SVS constitutes a powerful framework within which various types of semiotic analysis can be carried out.
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