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Lineage Explanations

Explaining How Biological Mechanisms Change

Bibliographic Data

ID8399692
AuthorsBrett Calcott (0000-0003-4164-5158, Australian National Botanic Gardens, corresponding author)
Year2009
Volume60
Issue1
Pages51-78
Publication date2009-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueThe British Journal for the Philosophy of Science (JOURNAL)
Journal identifiersISSN: 0007-0882 • E-ISSN: 1464-3537
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/bjps/axn047
OpenAlexW2022363456
LanguageEN
Citations received19
References cited28

This paper describes a pattern of explanation prevalent in the biological sciences that I call a ‘lineage explanation’. The aim of these explanations is to make plausible certain trajectories of change through phenotypic space. They do this by laying out a series of stages, where each stage shows how some mechanism worked, and the differences between each adjacent stage demonstrates how one mechanism, through minor modifications, could be changed into another. These explanations are important, for though it is widely accepted that there is an ‘incremental constraint’ on evolutionary change, in an important class of cases it is difficult to see how to satisfy this constraint. I show that lineage explanations answer important questions about evolutionary change, but do so by demonstrating differences between individuals rather than invoking population processes, such as natural selection.1. Introduction2. Turning a ‘Scale’ into a ‘Plume’3. Lineage Explanations in Biology3.1. The evolution of eyes3.2. The evolution of feathers4. The Two Dimensions of a Lineage Explanation4.1. The production dimension4.2. The continuity dimension4.3. The dual role of the parts5. Constraining the Explanations6. Operational and Generative Lineages7. Explaining Change Without Populations8. Conclusion

Biology · Class (philosophy) · Constraint (computer-aided design) · Epistemology · Evolutionary biology · Generative grammar · Lineage (genetic) · Mechanism (biology) · Natural selection · Population · Selection (genetic algorithm) · Sociology · Artificial Intelligence · Computer Science · Demography · Evolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation · Genetics · Mathematics · Philosophy · Philosophy and History of Science

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    Open Access•Koji Ota, Daichi G Suzuki et al.•Journal for General Philosophy of…•2022

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    Open Access•Stuart Glennan•Studies in History and Philosophy…•2005

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    Open Access•Jim Woodward•Philosophy of Science•2002

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Unique citing works19
Citations per year1,27
Citation span2011 - 2025 (15)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 19

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