A Heated Debate : Meta-Theoretical Studies on Current Climate Research and Public Understanding of Science /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sojka, Maria M. (Autor)
Formato: Electrónico eBook
Idioma:Alemán
Publicado: Bielefeld : Transcript [2023]
Colección:Philosophy (Transcript (Firm))
Temas:
Climatic changes > Research.
Science > Public opinion.
Climatic changes > Public opinion.
Sciences > Opinion publique.
Climat > Changements > Opinion publique.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction
  • 2. Some preliminary remarks
  • 2.1 Epistemic challenges of highly complex systems
  • 2.2 Discovery and justification: the DJ distinction
  • 2.3 A few words about objectivity
  • 3. Three ideals of science
  • 3.1 Value-free science
  • 3.1.1 Introduction: values in science
  • 3.1.1.1 The rise and fall of the value-free ideal
  • 3.1.1.2 Epistemic versus non-epistemic values
  • 3.1.2 Inductive risks and social values
  • 3.1.2.1 Social values and methodological considerations
  • 3.1.3 Social values in climate science
  • 3.1.3.1 Unconstrained decision making, predictive preferences andcostrestrictions
  • 3.1.3.2 Non-traceability
  • 3.1.3.3 Coarser uncertainty quantification and other possiblecounterarguments
  • 3.1.3.4 Systematic bias and wishful thinking
  • 3.1.4 Conclusion
  • 3.2 Model, theory and observation
  • 3.2.1 Introduction: from handmaiden to a life of their own
  • 3.2.1.2 Observation
  • 3.2.2 Theory-ladenness, underdetermination and models of data
  • 3.2.2.1 Models of data
  • 3.2.3 Observations in climate science
  • 3.2.3.1 Climate data
  • 3.2.3.1.1 Observations and uncertainties
  • 3.2.3.1.2 Satellite data
  • 3.2.3.1.3 Paleoclimate data and proxies
  • 3.2.3.1.4 Reanalysis data
  • 3.2.3.2 Model-data interdependency
  • 3.2.3.3 Verification and validation
  • 3.2.4 Conclusion
  • 3.3 Predictability
  • 3.3.1 Introduction: predictability and uncertainty
  • 3.3.2 Robustness
  • 3.3.3 Uncertainties in climate science
  • 3.3.3.1 Numerical approximation and structural uncertainty
  • 3.3.3.2 Parameter uncertainty
  • 3.3.3.3 Second-order uncertainty
  • 3.3.3.3.1 Ensemble studies
  • 3.3.3.3.2 The quantification problem
  • 3.3.3.4 Robustness revisited
  • 3.3.4 Conclusion
  • 3.4 Looking back and a tentative look forward
  • 3.4.1 Complexity and understanding
  • 3.4.2 Discovery and justification
  • 3.4.3 Scientific objectivity
  • 3.4.4 Conclusion: what now?
  • 4. Tacit knowledge, skill and expertise
  • 4.1 Tacit knowledge
  • 4.1.1 Michael Polanyi: tacit knowledge
  • 4.1.2 Gilbert Ryle: knowing how and knowing that
  • 4.1.3 Harry Collins: a taxonomy of tacit knowledge
  • 4.1.3.1 Relational Tacit Knowledge
  • 4.1.3.2 Somatic Tacit Knowledge
  • 4.1.3.3 Collective Tacit Knowledge
  • 4.2 Tacit knowledge in climate science
  • 1.2.1 Connection between tacit knowledge and expertise
  • 4.2.2 Climate modelling as engineering or craft
  • 4.3 Conclusion: expertise through experience
  • 2. Concluding remarks
  • 5.1 Where to go from here?
  • 5.1.1 Philosophy of science
  • 5.1.2 Science
  • 5.1.3 Public.

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