Modeling and corpus methods in experimental philosophy
Bibliographic Data
| ID | 4079358 |
|---|---|
| Authors | Louise Chartrand (0000-0002-9391-1270, University of Pittsburgh, corresponding author) |
| Year | 2022 |
| Volume | 17 |
| Issue | 6 |
| Publication date | 2022-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy Compass (JOURNAL) |
| Journal identifiers | ISSN: 1747-9991 • E-ISSN: 1747-9991 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/phc3.12837 |
| OpenAlex | W4229007095 |
| Language | EN |
| Citations received | 4 |
| References cited | 45 |
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
Data science · Empirical research · Epistemology · Inference · Linguistics · Mainstream · Natural language processing · Statistical hypothesis testing · Statistical inference · Statistics · Computational and Text Analysis Methods · Computer Science · Philosophy · Philosophy and History of Science · Psychology of Moral and Emotional Judgment · Artificial Intelligence
Perplexities of Consciousness
Falsification and the Methodology of Scientific Research Programmes
What’s inside is all that counts? The contours of everyday thinking about self-control
Tracing thick and thin concepts through corpora
Proof, Explanation, and Justification in Mathematical Practice
Corpus Linguistics Methods in the Study of (Meta)Argumentation
Discovering the factivity of "know"
Identifying Virtues and Values Through Obituary Data-Mining
Conceptions of scientific progress in scientific practice
Explain” in scientific discourse
Intuitions in physics
Beyond categorical definitions of life
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |