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The normative structure of mathematization in systematic biology
Beckett Sterner1, Scott Lidgard1
1Field Museum of Natural History, Chicago, IL, United States.
Mathematization in science involves advocating for specific research methods and evaluation criteria. This study contrasts qualitative and quantitative formalisms in biological classification, highlighting differing approaches to research workflow and meta-level discourse.
Area of Science:
- Systematic biology
- Philosophy of science
Background:
- The mathematization of science is often viewed as a neutral process.
- Understanding mathematization as a normative activity provides new insights into scientific methodology.
Observation:
- This study examines the mathematization of taxonomic classification in systematic biology.
- It contrasts Ernst Mayr's qualitative formalism (1940s) with numerical taxonomy's quantitative formalism (1960s).
- Both approaches aimed to formalize classification but differed in their reliance on human judgment versus automated procedures.
Findings:
- Mathematization is a normative activity, advocating for specific research methodologies and evaluation criteria.
- Mayr's approach prioritized human judgment in determining taxonomic rank.
- Numerical taxonomy utilized automated procedures for classification, emphasizing quantitative methods.
Implications:
- Contrasting these formalisms reveals differing conceptualizations of the classification workflow.
- The study highlights the importance of meta-level discourse in addressing challenges within scientific classification.
- This analysis enriches the understanding of how mathematical methods shape scientific research and evaluation.
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