Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims
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Summary
This summary is machine-generated.Scientific fields modeling complex systems, like epidemics and water cycles, use assertive language similar to physics. Water modeling particularly quantifies claims without sufficient uncertainty analysis, questioning its epistemic justification.
Area Of Science
- Focuses on socio-environmental modeling across human and physical sciences.
- Examines fields including epidemic, integrated assessment, and water modeling.
- Compares linguistic assertiveness in scientific knowledge claims.
Background
- Modern science increasingly uses complex mathematical models for socio-environmental phenomena.
- The epistemic commitment of these modeling fields remains unclear.
- Academic writing balances expressions of doubt and certainty.
Purpose Of The Study
- To assess the epistemic commitment of computationally intensive modeling fields.
- To analyze the linguistic assertiveness and quantification in scientific abstracts.
- To evaluate the justification for strong conviction in socio-environmental modeling.
Main Methods
- Utilized machine learning to analyze approximately 755,000 scientific abstracts.
- Extracted knowledge claims from 14 diverse scientific fields.
- Quantified linguistic assertiveness and numerical substantiation of claims.
Main Results
- Epidemic, integrated assessment, and water modeling exhibit high linguistic assertiveness, comparable to physics.
- Water modeling demonstrates extensive quantification, exceeding physics.
- A significant portion of water modeling claims lack uncertainty and sensitivity analysis.
Conclusions
- Fields modeling socio-environmental processes, especially water modeling, display strong epistemic commitment.
- The extensive quantification in water modeling warrants scrutiny regarding epistemic justification.
- The study prompts reflection on certainty and doubt in scientific claims about complex systems.
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