Introduction -- Scientific revolutions: paradigm shifts, incrementalism, or both? -- The cell : from empty boxes to coordinated organelles -- The theory of the gene : from abstract point to nucleotide sequence -- Mutation : from fluctuating variations to base alterations -- The life cycle : from spontaneous origin to simple and complex stages -- The molecular basis of life : from vitalism to organic molecules to macromolecules -- Sex determination : from wild guesses to reproductive biology -- Genotype and phenotype relations : from variations to genetic modifiers to epigenetics -- Microbial life : from invisible spores to germs and prokaryotic organisms -- Embryology : from philosophic forms to epigenetic organogenesis -- Cell organelles : from cell theory to cell biology -- Evolution : from guesswork to natural selection, to molecular phylogeny -- How does science usually work?

Originally published in German in 1935, this monograph anticipated solutions to problems of scientific progress, the truth of scientific fact and the role of error in science now associated with the work of Thomas Kuhn and others. Arguing that every scientific concept and theory—including his own—is culturally conditioned, Fleck was appreciably ahead of his time. And as Kuhn observes in his foreword, "Though much has occurred since its publication, it remains a brilliant and largely unexploited resource." "To many scientists just as to many historians and philosophers of science facts are things that simply are the case: they are discovered through properly passive observation of natural reality. To such views Fleck replies that facts are invented, not discovered. Moreover, the appearance of scientific facts as discovered things is itself a social construction, a made thing. A work of transparent brilliance, one of the most significant contributions toward a thoroughly sociological account of scientific knowledge."—Steven Shapin, Science

Does science give us a progressively more accurate and objective account of the world? This book by three leading philosophers of science presents a new defense of scientific realism against skeptical and positivist attacks. While positivists view scientific theories as devices for predicting observable phenomena, realists maintain that theories describe hidden processes which account for observable phenomena. This problem raises the question: What are scientific theories about? Do they refer to an unobservable yet real realm of physical processes? It seems undeniable that the scientific endeavor has in some sense made progress. But is the increasing practical success of the physical sciences good grounds for believing that their theories and techniques lead us nearer to the truth? According to Aronson, Harre, and Way, past failures to answer these questions have been due in large part to the assumption that knowledge is expressed in propositions and organized by the canons of logic. On the assumption that science must meet the world in a correspondence between statements and states of affairs, realism turns out to be difficult to defend. Realism Rescued offers a new direction, relying on the importance of models in scientific work. Theories are not to be thought of as sets of propositions, though they can be expressed propositionally. Rather they are models, chunks of orderings of natural kinds. For the first time, the indispensability of models is turned into a powerful argument for realism, an argument that confronts the skeptic on his own ground. By drawing on a new technique of knowledge representation developed in Artificial Intelligence, the dynamic type-hierarchy, the authorsgive a convincing account of the central role of models. Such concepts as verisimilitude, natural kind, natural necessity, and natural law can then be presented far more clearly than ever before.

The last 25 years have seen tremendous advances in the study of psychological processes in reading. Our growing body of knowledge on the reading process and reading acquisition has applications to such important problems as the prevention of reading difficulties and the identification of effective instructional practices. This volume summarizes the gains that have been made in key areas of reading research and provides insights on current controversies and debates. The volume is divided into seven parts, with each part begininning with an introductory chapter presenting findings on the topic at hand, followed by one or more classic papers from the author's research program. Issues covered include phonological processes and context effects in reading, the "reading wars" and how they should be resolved, the meaning of the term "dyslexia," and the cognitive effects and benefits of reading. --From publisher's description.

This volume examines the future prospects for research in the natural sciences and provides reasons for the cost-escalation of scientific work.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.