What does it look like when a group of scientists set out to re-envision an entire field of biology in symbolic and formal terms? I analyze the founding and articulation of Numerical Taxonomy between 1950 and 1970, the period when it set out a radical new approach to classification and founded a tradition of mathematics in systematic biology. I argue that introducing mathematics in a comprehensive way also requires re-organizing the daily work of scientists in the field. Numerical taxonomists sought (...) to establish a mathematical method for classification that was universal to every type of organism, and I argue this intrinsically implicated them in a qualitative re-organization of the work of all systematists. I also discuss how Numerical Taxonomy’s re-organization of practice became entrenched across systematic biology even as opposing schools produced their own competing mathematical methods. In this way, the structure of the work process became more fundamental than the methodological theories that motivated it. (shrink)

A classic analytic approach to biological phenomena seeks to refine definitions until classes are sufficiently homogenous to support prediction and explanation, but this approach founders on cases where a single process produces objects with similar forms but heterogeneous behaviors. I introduce object spaces as a tool to tackle this challenging diversity of biological objects in terms of causal processes with well-defined formal properties. Object spaces have three primary components: (1) a combinatorial biological process such as protein synthesis that generates objects (...) with parts that are modular, independent, and organized according to an invariant syntax; (2) a notion of “distance” that relates the objects according to rules of change over time as found in nature or useful for algorithms; (3) mapping functions defined on the space that map its objects to other spaces or apply an evaluative criterion to measure an important quality, such as parsimony or biochemical function. Once defined, an object space can be used to represent and simulate the dynamics of phenomena on multiple scales; it can also be used as a tool for predicting higher-order properties of the objects, including stitching together series of causal processes. Object spaces are the basis for a strategy of theorizing, discovery, and analysis in biology: as heuristic idealizations of biology, they help us transform inchoate, intractable problems into articulated, well-structured ones. Developing an object space is a research strategy with a long, successful history under many other names, and it offers a unifying but not overreaching approach to biological theory. (shrink)

We introduce a new type of pluralism about biological function that, in contrast to existing, demonstrates a practical integration among the term’s different meanings. In particular, we show how to generalize Sandra Mitchell’s notion of integrative pluralism to circumstances where multiple epistemic tools of the same type are jointly necessary to solve scientific problems. We argue that the multiple definitions of biological function operate jointly in this way based on how biologists explain the evolution of protein function. To clarify how (...) our account relates to existing views, we introduce a general typology for monist and pluralist accounts along with standardized criteria for judging which is best supported by evidence. (shrink)

What are the prospects for a monistic view of biological individuality given the multiple epistemic roles the concept must satisfy? In this paper, I examine the epistemic adequacy of two recent accounts based on the capacity to undergo natural selection. One is from Ellen Clarke, and the other is by Peter Godfrey-Smith. Clarke’s position reflects a strong monism, in that she aims to characterize individuality in purely functional terms and refrains from privileging any specific material properties as important in their (...) own right. I argue that Clarke’s functionalism impairs the epistemic adequacy of her account compared to a middle-ground position taken by Godfrey-Smith. In comparing Clarke and Godfrey-Smith’s account, two pathways emerge to pluralism about biological individuality. The first develops from the contrast between functionalist and materialist approaches, and the second from an underlying temporal structure involved in using evolutionary processes to define individuality. (shrink)

It is time to escape the constraints of the Systematics Wars narrative and pursue new questions that are better positioned to establish the relevance of the field in this time period to broader issues in the history of biology and history of science. To date, the underlying assumptions of the Systematics Wars narrative have led historians to prioritize theory over practice and the conflicts of a few leading theorists over the less-polarized interactions of systematists at large. We show how shifting (...) to a practice-oriented view of methodology, centered on the trajectory of mathematization in systematics, demonstrates problems with the common view that one camp straightforwardly “won” over the other. In particular, we critique David Hull’s historical account in Science as a Process by demonstrating exactly the sort of intermediate level of positive sharing between phenetic and cladistic theories that undermines their mutually exclusive individuality as conceptual systems over time. It is misleading, or at least inadequate, to treat them simply as holistically opposed theories that can only interact by competition to the death. Looking to the future, we suggest that the concept of workflow provides an important new perspective on the history of mathematization and computerization in biology after World War II. (shrink)

The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and data intelligible to computers generally assume that accommodating multiple meanings for words, known as polysemy, undermines reasoning and communication. This assumption has nonetheless been contested by historians, philosophers, and social scientists, who have applied qualitative research methods to demonstrate the generative and strategic value of polysemy. Recent quantitative results from linguistics have also shown how polysemy can actually improve the efficiency of human (...) communication. I present a new conceptual typology based on a synthesis of prior research about the aims, norms, and circumstances under which polysemy arises and is evaluated. The typology supports a contextual pluralist view of polysemy’s value for scientific research practices: polysemy does both substantial positive and negative work in science, but its utility is context-sensitive in ways that are often overlooked by the norms people have formulated to regulate its use, including prior scholars researching polysemy. I also propose that historical patterns in the use of partial synonyms, i.e. terms with overlapping meanings, provide an especially promising phenomenon for integrative research addressing these issues. (shrink)

Contemporary biology has inherited two key assumptions from the Modern Synthesis about the nature of population lineages: sexual reproduction is the exemplar for how individuals in population lineages inherit traits from their parents, and random mating is the exemplar for reproductive interaction. While these assumptions have been extremely fruitful for a number of fields, such as population genetics and phylogenetics, they are increasingly unviable for studying the full diversity and evolution of life. I introduce the “mixture” account of population lineages (...) that escapes these assumptions by dissolving the Modern Synthesis’s sharp line separating reproduction and development and characterizing reproductive integration in population lineages by the ephemerality of isolated subgroups rather than random mating. The mixture account provides a single criterion for reproductive integration that accommodates both sexual and asexual reproduction, unifying their treatment under Kevin de Queiroz’s generalized lineage concept of species. The account also provides a new basis for empirically assessing the effect of random mating as an idealization on the empirical adequacy of population genetic models. (shrink)

Criticism of big data has focused on showing that more is not necessarily better, in the sense that data may lose their value when taken out of context and aggregated together. The next step is to incorporate an awareness of pitfalls for aggregation into the design of data infrastructure and institutions. A common strategy minimizes aggregation errors by increasing the precision of our conventions for identifying and classifying data. As a counterpoint, we argue that there are pragmatic trade-offs between precision (...) and ambiguity that are key to designing effective solutions for generating big data about biodiversity. We focus on the importance of theory-dependence as a source of ambiguity in taxonomic nomenclature and hence a persistent challenge for implementing a single, long-term solution to storing and accessing meaningful sets of biological specimens. We argue that ambiguity does have a positive role to play in scientific progress as a tool for efficiently symbolizing multiple aspects of taxa and mediating between conflicting hypotheses about their nature. Pursuing a deeper understanding of the trade-offs and synthesis of precision and ambiguity as virtues of scientific language and communication systems then offers a productive next step for realizing sound, big biodiversity data services. (shrink)

The collection and classification of data into meaningful categories is a key step in the process of knowledge making. In the life sciences, the design of data discovery and integration tools has relied on the premise that a formal classificatory system for expressing a body of data should be grounded in consensus definitions for classifications. On this approach, exemplified by the realist program of the Open Biomedical Ontologies Foundry, progress is maximized by grounding the representation and aggregation of data on (...) settled knowledge. We argue that historical practices in systematic biology provide an important and overlooked alternative approach to classifying and disseminating data, based on a principle of coordinative rather than definitional consensus. Systematists have developed a robust system for referring to taxonomic entities that can deliver high quality data discovery and integration without invoking consensus about reality or “settled” science. (shrink)

We argue that the mathematization of science should be understood as a normative activity of advocating for a particular methodology with its own criteria for evaluating good research. As a case study, we examine the mathematization of taxonomic classification in systematic biology. We show how mathematization is a normative activity by contrasting its distinctive features in numerical taxonomy in the 1960s with an earlier reform advocated by Ernst Mayr starting in the 1940s. Both Mayr and the numerical taxonomists sought to (...) formalize the work of classification, but Mayr introduced a qualitative formalism based on human judgment for determining the taxonomic rank of populations, while the numerical taxonomists introduced a quantitative formalism based on automated procedures for computing classifications. The key contrast between Mayr and the numerical taxonomists is how they conceptualized the temporal structure of the workflow of classification, specifically where they allowed meta-level discourse about difficulties in producing the classification. (shrink)

Evolutionary conceptions of species place special weight on each species having dynamic independence as a unit of evolution. However, the idea that species have their own historical fates, tendencies, or roles has resisted systematic analysis. Growing evidence from population genomics shows that many paradigm species regularly engage in hybridization. How can species be defined in terms of independent evolutionary identities if their genomes are dynamically coupled through lateral exchange? I introduce the concept of a “composite lineage” to distinguish species and (...) subspecies on the basis of the proportion of a group’s heritable traits that are uncoupled from reproductive exchange. (shrink)

Biodiversity science is in a pivotal period when diverse groups of actors—including researchers, businesses, national governments, and Indigenous Peoples—are negotiating wide-ranging norms for governing and managing biodiversity data in digital repositories. These repositories, often called biodiversity data portals, are a type of organization for which governance can address or perpetuate the colonial history of biodiversity science and current inequities. Researchers and Indigenous Peoples are developing and implementing new strategies to examine and change assumptions about which agents should count as salient (...) participants in scientific projects, especially in projects that build and manage large digital data portals. Two notable efforts are the FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective benefit, Authority, Responsibility, Ethics) Principles for scientific data management and governance. To characterize how these principles influence the governance of biodiversity data portals, we develop an account of fit-for-use data that makes explicit its social as well as technical conditions in relation to agents and purposes. The FAIR Principles, already widely adopted by biodiversity researchers, prioritize machine agents and efficient computation, while the CARE Principles prioritize Indigenous Peoples and their data sovereignty. Both illustrate the potency of an emerging general strategy by which groups of actors craft and implement governance principles for data fitness-of-use to change assumptions about who are salient participants in data science. (shrink)

We critique the organizational account of biological functions by showing how its basis in the closure of constraints fails to be objective. While the account treats constraints as objective features of physical systems, the number and relationship of potential constraints are subject to potentially arbitrary redescription by investigators. For example, we show that self-maintaining systems such as candle flames can realize closure on a more thorough analysis of the case, contradicting the claim that these “simple” systems lack functional organization. This (...) also raises problems for Moreno and Mossio’s associated theory of biological autonomy, which asserts that living beings are distinguished by their possession of a closed system of constraints that channel and regulate their metabolic processes. (shrink)

Consensus about a classification is defined as agreement on a set of classes and their relations for us in forming beliefs. While most research on scientific consensus has focused on consensus about a belief as a mark of truth, we highlight the importance of consensus in justifying shared classificatory language. What sort of consensus, if any, is the best basis for communicating and reasoning with scientific classifications? We describe an often-overlooked coordinative role for consensus that leverage agreement on how to (...) disagree such that actors involved can still achieve one or more shared aims even when they do not agree on shared beliefs or categories. Looking forward, we suggest that investigating structures and methods for coordinative consensus provides an important new direction for research on the epistemic foundations of knowledge organization. (shrink)

The growing range of methods for statistical model selection is inspiring new debates about how to handle the potential for conflicting results when different methods are applied to the same data. While many factors enter into choosing a model selection method, we focus on the implications of disagreements among scientists about whether, and in what sense, the true probability distribution is included in the candidate set of models. While this question can be addressed empirically, the data often provide inconclusive results (...) in practice. In such cases, we argue that differences in prior metaphysical views about the local adequacy of the models can produce underdetermination of results, even for the same data and candidate models. As a result, data alone are sometimes insufficient to settle rational beliefs about nature. (shrink)

Many philosophers are skeptical about the scientific value of the concept of biological information. However, several have recently proposed a more positive view of ascribing information as an exercise in scientific modeling. I argue for an alternative role: guiding empirical data collection for the sake of theorizing about the evolution of semantics. I clarify and expand on Bergstrom and Rosvall’s suggestion of taking a “diagnostic” approach that defines biological information operationally as a procedure for collecting empirical cases. The more recent (...) modeling-based accounts still perpetuate a theory-centric view of scientific concepts, which motivated philosophers’ misplaced skepticism in the first place. (shrink)

Among the many causes of an event, how do we distinguish the important ones? Are there ways to distinguish among causes on principled grounds that integrate both practical aims and objective knowledge? Psychologist Tania Lombrozo has suggested that causal explanations “identify factors that are ‘exportable’ in the sense that they are likely to subserve future prediction and intervention” (Lombrozo 2010, 327). Hence portable causes are more important precisely because they provide objective information to prediction and intervention as practical aims. However, (...) I argue that this is only part of the epistemology of causal selection. Recent work on portable causes has implicitly assumed them to be portable within the same causal system at a later time. As a result, it has appeared that the objective content of causal selection includes only facts about the causal structure of that single system. In contrast, I present a case study from systems biology in which scientists are searching for causal factors that are portable across rather than within causal systems. By paying careful attention to how these biologists find portable causes, I show that the objective content of causal selection can extend beyond the immediate systems of interest. In particular, knowledge of the evolutionary history of gene networks is necessary for correctly identifying causal patterns in these networks that explain cellular behavior in a portable way. (shrink)

How should billions of species observations worldwide be shared and made reusable? Many biodiversity scientists assume the ideal solution is to standardize all datasets according to a single, universal classification and aggregate them into a centralized, global repository. This ideal has known practical and theoretical limitations, however, which justifies investigating alternatives. To support better community deliberation and normative evaluation, we develop a novel conceptual framework showing how different organizational models, regulative ideals and heuristic strategies are combined to form shared infrastructures (...) supporting data reuse. The framework is anchored in a general definition of data pooling as an activity of making a taxonomically standardized body of information available for community reuse via digital infrastructure. We describe and illustrate unified and pluralistic ideals for biodiversity data pooling and show how communities may advance toward these ideals using different heuristic strategies. We present evidence for the strengths and limitations of the unification and pluralistic ideals based on systemic relationships of power, responsibility and benefit they establish among stakeholders, and we conclude the pluralistic ideal is better suited for biodiversity data. (shrink)

Biodiversity scientists often describe their field as aiming to save life and humanity, but the field has yet to reckon with the history and contemporary practices of colonialism and systematic racism inherited from natural history. The online data portals scientists use to store and share biodiversity data are a growing class of organizations whose governance can address or perpetuate and further institutionalize the implicit assumptions and inequitable social impacts from this extensive history. In this context, researchers and Indigenous Peoples are (...) developing and implementing new strategies to examine and change assumptions about which agents should count as salient participants to scientific projects, especially projects that build and manage large digital data portals. Two notable efforts are the FAIR and CARE Principles for scientific data management and governance. To characterize how these influence the governance of biodiversity data portals, we develop an account of fitness-for-use that makes explicit its social as well as technical conditions in relation to agents and purposes. The FAIR Principles, already widely adopted by biodiversity data projects, prioritize machine agents and efficient computation, while the CARE Principles prioritize Indigenous Peoples and their data sovereignty. Both illustrate the potency of an emerging general strategy by which groups of actors craft and implement governance principles for data fitness-of-use to change assumptions about salient participants to data science. (shrink)

Big data is opening new angles on old questions about scientific progress. Is scientific knowledge cumulative? If yes, how does it make progress? In the life sciences, what we call the Consensus Principle has dominated the design of data discovery and integration tools: the design of a formal classificatory system for expressing a body of data should be grounded in consensus. Based on current approaches in biomedicine and systematic biology, we formulate and compare three types of the Consensus Principle: realist, (...) contextual-best, and coordinative. Contrasted with the realist program of the Open Biomedical Ontologies Foundry, we argue that historical practices in systematic biology provide an important and overlooked alternative based on coordinative consensus. Systematists have developed a robust system for referring to taxonomic entities that can deliver high quality data discovery and integration without invoking consensus about reality or “settled” science. (shrink)

What should the best practices be for modeling zoonotic disease risks, e.g. to anticipate the next pandemic, when background assumptions are unsettled or evolving rapidly? This challenge runs deeper than one might expect, all the way into how we model the robustness of contemporary phylogenetic inference and taxonomic classifications. Different and legitimate taxonomic assumptions can destabilize the putative objectivity of zoonotic risk assessments, thus potentially supporting inconsistent and overconfident policy decisions.

Making sense of why something succeeded or failed is central to scientific practice: it provides an interpretation of what happened, i.e. an hypothesized explanation for the results, that informs scientists’ deliberations over their next steps. In philosophy, the realism debate has dominated the project of making sense of scientists’ success and failure claims, restricting its focus to whether truth or reliability best explain science’s most secure successes. Our aim, in contrast, will be to expand and advance the practice-oriented project sketched (...) by Arthur Fine in his work on the Natural Ontological Attitude. An important obstacle to articulating a positive program, we suggest, has been overlooking how scientists adopt standardized rules and procedures in order to define and operationalize meanings for success and failure relative to their situated goals. To help fill this gap, we introduce two new ideas, design specifications and track records, and show how they advance our ability to make sense of scientific modeling practices while maintaining a deflationary stance toward the realism debate. (shrink)

We characterize a type of functional explanation that addresses why a homologous trait originating deep in the evolutionary history of a group remains widespread and largely unchanged across the group’s lineages. We argue that biologists regularly provide this type of explanation when they attribute conserved functions to phenotypic and genetic traits. The concept of conserved function applies broadly to many biological domains, and we illustrate its importance using examples of molecular sequence alignments at the intersection of evolution and cell biology. (...) We use these examples to show how the study of conserved functions can integrate knowledge of a trait’s causal effects on fitness and its history of natural selection without invoking adaptation. We also show how conserved function provides a novel basis for addressing objections against evolutionary functions raised by Robert Cummins. (shrink)

The Irish writer and Nobel Prize winner, Samuel Beckett, assembled for himself a history of western philosophy during the 1930s, just at the point at which his first novel, Murphy, was coming together. The 'Philosophy Notes', together with related notes taken at that time about St. Augustine, thereafter provided Beckett with a store of knowledge, but also with phrases and images, which he took up in the major work that won him international and enduring fame, from the dramas (...) Waiting for Godot and Endgame, through to the late prose works Worstward Ho and Stirrings Still. This edition presents, for the first time, Beckett's full 'Philosophy Notes', which constitute his most extensive unpublished text. The Notes display Beckett's own interests and emphases within the history of western philosophy, from the pre-Socratic Greeks onwards, together with more familiar figures in the study of his work, such as Descartes, Leibnitz, and Geulincx. Here we see Beckett's original thoughts on all of these figures for the first time. The Notes also, tellingly and often comically, display Beckett's impatience with many aspects of philosophy, such as its anthropological or anthropomorphic bias, or the idealism of the Enlightenment and Kant. The Edition contains an extensive Introduction, outlining the origin of Beckett's Notes, his major sources and approach to them, the historical context for his view of philosophy, and the significance of Beckett's 'Philosophy Notes' within his mature writings. The many footnotes then suggest ways in which particular aspects of the philosophy narrated here by Beckett suggest fresh insights into those later writings-the images, but also the creative impulses, behind some of his most famous texts. This Edition, further, raises larger questions about, and perspectives upon, the relation between philosophy and literature in the twentieth century and beyond."--Back cover. (shrink)

Pt.1. Foundations of Values and Ethics -- Ch.1. What are Values and Ethics? -- Ch.2. Moral Philosophy -- Ch.3. Values and Religion -- Ch.4. Values and Politics -- Ch.5. Realism as an Ethical Principle -- Pt.2. Values and Ethics in Practice -- Ch.6. Being Professional -- Ch.7. Power and Control -- Ch.8. Self-Determination and Privacy -- Ch.9. Respect Versus Oppression -- Ch.10. Ethics and Resources -- Ch.11. Difference and Diversity.

This book will enable students to better understand key concepts and ethical and philosophical positions which will inform their assessed work and competence as a professional.

In social work there is seldom an uncontroversial `right way' of doing things. So how will you deal with the value questions and ethical dilemmas that you will be faced with as a professional social worker? This lively and readable introductory text is designed to equip students with a sound understanding of the principles of values and ethics which no social worker should be without. Bridging the gap between theory and practice, this book successfully explores the complexities of ethical issues, (...) while recognising the real-world context in which social workers operate. Key features of the text include: - Full of hands-on advice and tips for professional practice. - Engaging and student-friendly. Each chapter is packed with case studies, reader exercises, key definitions and useful summaries. - Comprehensive content. The book explores core issues such as moral philosophy; professionalism; religion; power; oppression; difference and diversity; and ethical codes of practice. - Satisfies all the curriculum and training requirements for the new social work degree. Mapping directly on to first year courses, this text is essential reading for all social work undergraduates. It is an ideal refresher text for upper-level undergraduates, postgraduate and post-qualifying students, and for professionals. `This introductory text succeeds in providing an accessible introduction to the subject area. The book is consistently structured, well planned and uniformly written in a conversational and immediate style…. The discussion manages to combine a sense of engagement with a balanced treatment of the issues. Readers who apply themselves will be well sensitised to the matters under discussion and should be able to take their understanding into the practical arena' - Chris Clark, University of Edinburgh. (shrink)

This Special Issue addresses a range of educational issues linked to main themes from our 2019 book The Emergence of Complexity: Rethinking Education as a Social Science. This book elaborated two major theses that raise fundamental questions for philosophy of education. First, that learning by groups is typically a distinctive kind of learning that is not reducible to learning by individuals. Second, that a degree of holism, as against a focus on individuals, is essential for achieving a convincing understanding of (...) this distinctive type of group learning. These two theses are of direct interest to philosophy of education since they challenges the resources of received theories of learning. Yet this kind of group learning characterises the vast bulk of human learning situations that occur outside of formal education systems. In this Special Issue introductory article we, firstly, introduce some basic principles of complexity theory, and demonstrate that, together with the concept of a ‘co-present group’ (between 2 and about 12 individuals), these ideas offer develop novel understandings of the distinctive learning that occurs within such groups. Secondly, we outline and illustrate with further examples the main features of co-present groups. Thirdly, we consolidate our conceptual work by showing five ways in which our account of group learning serves to refurbish the concept of ‘learning’. (shrink)

In this essay Kelvin Beckett argues that Richard Peters's major work on education, Ethics and Education, belongs on a short list of important texts we can all share. He argues this not because of the place it has in the history of philosophy of education, as important as that is, but because of the contribution it can still make to the future of the discipline. The limitations of Peters's analysis of the concept of education in his chapter on “Criteria (...) of Education” are well known. In the chapter on “Education as Initiation,” however, Peters offered a synthetic sketch of education that, Beckett argues, points us toward a more comprehensive definition of education, one which, he maintains, can be accepted by all philosophers, regardless of the tradition they work in. (shrink)

Kelvin Beckett; Growth Theory Reconsidered, Journal of Philosophy of Education, Volume 19, Issue 1, 30 May 2006, Pages 49–54, https://doi.org/10.1111/j.1467-975.

There is a long and erudite debate on the existence and identification of mercy, of its relationship with justice, and its structural connections to law and to politics. The central questions seem to be: What is mercy? What is it for? Do we need it? Can we use it? Who can use it? When? Why? Some negative questions are also raised: Can we misuse it? Is it just another exercise of power? Most of these queries, it seems to me, are (...) also relevant to law, but are located in the often under-explored recesses of jurisprudence. This concern notwithstanding, I would like to offer my own thoughts on the phenomenon of mercy, its meaning, its utility, and what it can tell us about law itself. (shrink)

There is growing worldwide concern that the rampant spread of digital fake news via new media technologies is detrimentally impacting Democratic elections. However, the actual influence of this recent Internet phenomenon on electoral decisions has not been directly examined. Accordingly, this study tested the effects of attention to DFN on readers’ Presidential candidate preferences via an experimental web-survey administered to a cross-sectional American sample. Results showed no main effect of exposure to DFN on participants’ candidate evaluations or vote choice. However, (...) the perceived believability of DFN about the Democratic candidate negatively mediated evaluations of that candidate—especially amongst far-right ideologues. These results suggest that DFN may at worst reinforce the partisan dispositions of mostly politically conservative Internet users, but does not cause or induce conversions in these dispositions. Overall, this study contributes novel experimental evidence, indicating that the potential electoral impact of DFN, although concerning, is strongly conditional on a reciprocal interaction between message receptibility and a pre-existing right-wing ideological orientation. The said impact is, therefore, likely narrow in scope. (shrink)

This article uses the US debate over elective Cesarean section to re-consider some of the more contentious issues raised in feminist debates about childbirth. Three waves of feminist commentary and critique in the United States are analysed in light of the ongoing debate over whether women should be able to choose Cesarean for non-medical reasons. I argue that the alternative birth movement's essentialist and occasionally moralistic rhetoric is problematic, and the idea that some women's preference for high-tech obstetrics is the (...) result of a passive 'socialization' into 'dominant values' is theoretically inadequate. On the other hand, the invocation of women's choice and appreciation of high-tech childbirth serves as a weak foundation for a feminist perspective on childbirth. By limiting their analysis to the rhetorical and discursive nature and functions of 'the medical' and 'the natural', poststructuralist critics of the alternative birth movement obscure the connection of these discourses to practices that have very different consequences for maternal and infant health and, most importantly, for the consumption of health care resources. (shrink)

In this article, I argue that Paulo Freire’s liberatory conception of education is interesting, challenging, even transforming because central to it are important aspects of education which other philosophers marginalise. I also argue that Freire’s critics are right when they claim that he paid insufficient attention to another important aspect of education. Finally, I argue for a conception of education which takes account of the strengths and at the same time overcomes the limitations of Freire’s liberatory conception.

John Dewey adopted a child-centered point of view to illuminate aspects of education he believed teacher-centered educators were neglecting, but he did so self-consciously and self-critically, because he also believed that ‘a new order of conceptions leading to new modes of practice’ was needed. Dewey introduced his new conceptions in The Child and the Curriculum and later and more fully in Democracy and Education. Teachers at his Laboratory School in Chicago developed the new modes of practice. In this article, I (...) explore Dewey’s new conception of education and compare it with the apparently opposed views of R. S. Peters and Paulo Freire. In doing so, I show that, despite their criticisms of Dewey, whether explicit or implicit, these influential philosophers, representing quite different traditions in philosophy of education were in substantial agreement with him. I also show that, despite our own differences, as important as they are, seeing teachers and learners at work in a rapidly changing society, now on a global scale, in classrooms which are also changing, driven largely by new technologies, the conception of education Dewey, Peters, and Freire developed can provide us with the foundation we need to understand the changing teacher–learner relationship and the purposes their shared activities serve. (shrink)

Although a ?realist? stance is sometimes contrasted with a ?principled? one, this article argues that realism is, of itself, an important ethical principle. Acknowledging the problems that exist in defining ?reality?, and the fact that the nature of reality is contested, the article nevertheless insists on an ?out there? reality. It asserts that the existence of this external reality is, in practice, generally accepted, and indeed must be accepted if we are to make the important distinction between truth and falsehood. (...) The article proposes that discourse which is not grounded in the concrete reality of the specific situations in which social work is practised is potentially harmful because it results in a decoupling of language from what it is supposed to represent and creates a potential for language to be used to deceive. The article then discusses ?Realism about Outcomes? and ?Realism about Context? as two out of a number of different areas in which realism is important in practice and policy making. It concludes that genuinely ethical social work practice and policy making require that we attempt to engage with the world as it actually is. (shrink)

Kelvin Beckett; Growth Theory Reconsidered, Journal of Philosophy of Education, Volume 19, Issue 1, 30 May 2006, Pages 49–54, https://doi.org/10.1111/j.1467-975.