Explanation in Classical Population Genetics
Bibliographic Data
| ID | 10705279 |
|---|---|
| Authors | Antoni Plutynski (0000-0003-3791-7720, University of Utah, corresponding author), Anya Plutynski |
| Year | 2004 |
| Volume | 71 |
| Issue | 5 |
| Pages | 1201-1214 |
| Publication date | 2004-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1086/426773 |
| OpenAlex | W2037129499 |
| Language | EN |
| Citations received | 4 |
| References cited | 14 |
The recent literature in philosophy of biology has drawn attention to the different sorts of explanations proffered in the biological sciences—we have molecular, biomedical, and evolutionary explanations. Do these explanations all have a common structure or relation that they seek to capture? This paper will answer in the negative. I defend a pluralistic and pragmatic approach to explanation. Using examples from classical population genetics, I argue that formal demonstrations, and even strictly “mathematical truths,” may serve as explanatory in different historical contexts
Epistemology · Evolutionary theory · Philosophy of science · Population · Population genetics · Relation (database) · Sociology · Computer Science · Demography · Evolution and Genetic Dynamics · Philosophy · Philosophy and History of Science
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Probability, explanation, and information
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2010 - 2024 (15) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |