Digital Literature Analysis for Empirical Philosophy of Science
Bibliographic Data
| ID | 8399395 |
|---|---|
| Authors | Oliver M Lean (0000-0002-2787-8441, UCLouvain, corresponding author), Luca Rivelli (0000-0002-1507-3865, UCLouvain), Charles H Pence (0000-0002-6836-6047, UCLouvain) |
| Year | 2023 |
| Volume | 74 |
| Issue | 4 |
| Pages | 875-898 |
| Publication date | 2023-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The British Journal for the Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/715049 |
| OpenAlex | W3157348028 |
| Language | EN |
| Citations received | 4 |
| References cited | 36 |
Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyse large volumes of scientific literature. Here we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of digital humanities tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of digital humanities tools requires critical reflection about these relationships
Data science · Empirical evidence · Engineering ethics · Epistemology · Philosophy of science · Reflection (computer programming · Scale (ratio · Scope (computer science · Value (mathematics · Biomedical Text Mining and Ontologies · Computer Science · Philosophy · Philosophy and History of Science · scientometrics and bibliometrics research
Who Wrote the Book of Life?
Data-Centric Biology
Re-Engineering Philosophy for Limited Beings
Identifying the effects of co-authorship networks on the performance of scholars
Bibliographic coupling between scientific papers
The natural selection of bad science
Structural Realism
Co‐citation in the scientific literature
Community structure in social and biological networks
Emergence of Scaling in Random Networks
Probabilistic topic models
How is a revolutionary scientific paper cited
My version of corpus linguistics
EvoText
Shifting to structures in physics and biology
Argument Mining
Explain” in scientific discourse
The Structure of a Scientific Paper
Doing Science, Writing Science
How to Do Digital Philosophy of Science
Scientific Knowledge and the Deep Past
Opening the Black Box
| Unique citing works | 4 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |