Results for ' Machinery'

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  1.  8
    Proceedings of the 1986 Conference on Theoretical Aspects of Reasoning about Knowledge: March 19-22, 1988, Monterey, California.Joseph Y. Halpern, International Business Machines Corporation, American Association of Artificial Intelligence, United States & Association for Computing Machinery - 1986
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  2. Computing machinery and intelligence.Alan M. Turing - 1950 - Mind 59 (October):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  3.  21
    The Machinery of Government: Public Administration and the Liberal State.Joseph Heath - 2020 - Oup Usa.
    In most liberal democracies for example, the central bank is as independent as the supreme court, yet deals with a wide range of economic, social, and political issues. How do these public servants make these policy decisions? What normative principles inform their judgments? In The Machinery of Government, Joseph Heath attempts to answer these questions. He looks to the actual practice of public administration to see how normative questions are addressed. More broadly, he attempts to provide the outlines of (...)
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  4. Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  5. Machineries for Making Publics: Inscribing and De-scribing Publics in Public Engagement.Ulrike Felt & Maximilian Fochler - 2010 - Minerva 48 (3):219-238.
    This paper investigates the dynamic and performative construction of publics in public engagement exercises. In this investigation, we, on the one hand, analyse how public engagement settings as political machineries frame particular kinds of roles and identities for the participating publics in relation to ‘the public at large’. On the other hand, we study how the participating citizens appropriate, resist and transform these roles and identities, and how they construct themselves and the participating group in relation to wider publics. The (...)
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  6.  32
    The Machinery of Freedom.David Friedman - unknown
    Capitalism is the best. It's free enterprise. Barter. Gimbels, if I get really rank with the clerk, 'Well I don't like this', how I can resolve it? If it really gets ridiculous, I go, 'Frig it, man, I walk.' What can this guy do at Gimbels, even if he was the president of Gimbels? He can always reject me from that store, but I can always go to Macy's. He can't really hurt me. Communism is like one big phone company. (...)
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  7.  7
    The Machinery of Talk: Charles Peirce and the Sign Hypothesis.Anne Freadman - 2004 - Stanford University Press.
    Freadman uses the term genre to access Peirce’s work, and expands this original theoretical approach by proposing that “genre” interacts with “sign” and that this interaction is central to the study of the semiotic in general.
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  8. Computing Machinery and Sexual Difference: The Sexed Presuppositions Underlying the Turing Test.Amy Kind - 2022 - In Keya Maitra & Jennifer McWeeny (eds.), Feminist Philosophy of Mind. New York, NY, United States of America: Oxford University Press, Usa.
    In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing proposed that we can determine whether a machine thinks by considering whether it can win at a simple imitation game. A neutral questioner communicates with two different systems – one a machine and a human being – without knowing which is which. If after some reasonable amount of time the machine is able to fool the questioner into identifying it as the human, the machine wins the game, and we (...)
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  9.  27
    Machines, Machineries and Perpetual Motion: Historical and Epistemological Reflections on the Culture of Machines around the Renaissance.Raffaele Pisano & Paolo Bussotti - 2015 - Acta Baltica Historiae Et Philosophiae s Cientiarum 3 (1):69-87.
    This paper is the second part of our recent paper ‘Historical and Epistemological Reflections on the Culture of machines around the renaissance: How s cience and t echnique Work’ (Pisano & Bussotti 2014a). In the first paper—which discussed some aspects of the relations between science and technology from Antiquity to the Renaissance—we highlighted the differences between the Aristotelian/Euclidean tradition and the Archimedean tradition. We also pointed out the way in which the two traditions were perceived around the r enaissance. t (...)
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  10.  16
    Machinery of Death or Machinic Life.David Wills - 2014 - Derrida Today 7 (1):2-20.
    The notion of a ‘machinery of death’ not only underwrites abolitionist discourse but also informs what Derrida's Death Penalty refers to as an anesthesial drive that can be traced back at least as far as Guillotin. I read it here as a symptom of a more complex relation to the technological that functions across the line dividing life from death, and which is concentrated in the question of the instant that capital punishment requires. Further indications of such a relation (...)
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  11.  53
    Computing machinery and morality.Blay Whitby - 2008 - AI and Society 22 (4):551-563.
    Artificial Intelligence (AI) is a technology widely used to support human decision-making. Current areas of application include financial services, engineering, and management. A number of attempts to introduce AI decision support systems into areas which more obviously include moral judgement have been made. These include systems that give advice on patient care, on social benefit entitlement, and even ethical advice for medical professionals. Responding to these developments raises a complex set of moral questions. This paper proposes a clearer replacement question (...)
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  12.  16
    Molecular machinery required for protein transport from the endoplasmic reticulum to the golgi complex.Linda Hicke & Randy Schekman - 1990 - Bioessays 12 (6):253-258.
    The cellular machinery responsible for conveying proteins between the endoplasmic reticulum and the Golgi is being investigated using genetics and biochemistry. A role for vesicles in mediating protein traffic between the ER and the Golgi has been established by characterizing yeast mutants defective in this process, and by using recently developed cell‐free assays that measure ER to Golgi transport. These tools have also allowed the identification of several proteins crucial to intracellular protein trafficking. The characterization and possible functions of (...)
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  13.  22
    Computing Machinery, Surprise and Originality.Sylvie Delacroix - 2021 - Philosophy and Technology 34 (4):1195-1211.
    Lady Lovelace’s notes on Babbage’s Analytical Engine never refer to the concept of surprise. Having some pretension to ‘originate’ something—unlike the Analytical Engine—is neither necessary nor sufficient to being able to surprise someone. Turing nevertheless translates Lovelace’s ‘this machine is incapable of originating something’ in terms of a hypothetical ‘computers cannot take us by surprise’ objection to the idea that machines may be deemed capable of thinking. To understand the contemporary significance of what is missed in Turing’s ‘surprise’ translation of (...)
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  14. Intelligent machinery, a heretical theory.A. M. Turing - 1996 - Philosophia Mathematica 4 (3):256-260.
  15.  21
    Neural Machinery of the Brain and the Brain-Mind Problem.J. Eccles - 1983 - der 16. Weltkongress Für Philosophie 1:209-228.
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  16. Ontogenetic Machinery.Lorenz Engell - 2011 - Radical Philosophy 169:10.
     
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  17. Neural machinery and realization.Thomas W. Polger - 2004 - Philosophy of Science 71 (5):997-1006.
    The view that the relationship between minds and brains can be thought of on the model of software and hardware is pervasive. The most common versions of the view, known as functionalism in philosophy of mind, hold that minds are realized by brains.
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  18.  13
    The Machinery of International Law and Democratic Backsliding: The Problem of Term Limits.Tom Ginsburg - 2020 - Law and Ethics of Human Rights 14 (1):1-18.
    Our era is one of democratic backsliding. International courts and institutions have provided some bulwark against this trend, but we are now witnessing leaders seeking to use international law to extend their power. Courts in several countries have relied on international human rights norms to facilitate term limit extensions by leaders seeking to retain power beyond what is constitutionally allowed. This Article documents these cases and calls for a more robust and substantive international law of democracy-protection.
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  19. Machinery, Money and the Millennium: From Moral Economy to Socialism, 1815-1860.Gregory Claeys - 1993 - Utopian Studies 4 (1):230-231.
  20.  26
    Social Machinery and the Social Spirit.Helen Wodehouse - 1930 - Humana Mente 5 (17):51-61.
    There is a certain experience which awaits reformers of all parties sooner or later. They make plans for amending some small part of the world, and consider means for getting the idea into practice, and then someone interposes a comment: “This plan,” he says, “is all very well, but it is mere machinery. The world can be saved only by what is inward and living, by change in heart and thought, by renewal of spirit.”.
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  21. Machinery-A Blessing or a Curse.A. Barratt Brown - 1929 - Hibbert Journal 28:1.
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  22. ‘Intelligent Machinery’: Foreword to Christof Teuscher, Turing’s Connectionism: An Investigation of Neural Network Architectures (vii-xiii).Diane Proudfoot & Jack Copeland - 2002 - In Turing’s Connectionism: An Investigation of Neural Network Architectures.
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  23. Social Machinery and Intelligence.Nello Cristianini, James Ladyman & Teresa Scantamburlo - manuscript
    Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of mechanisms. We (...)
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  24.  14
    The Machinery of Consciousness: A Cautionary Tale.Steven Mentor - 2007 - Anthropology of Consciousness 18 (1):20-50.
    The emerging transdisciplinary field of consciousness studies merges transpersonal psychology with recent brain studies. In this paper, I argue that this new discipline must come to terms with the rhetorics of control in the history of brain research. I establish parallels between the discourses of lobotomy and psychosurgery, Electrical Stimulation of the Brain (ESB), and cybernetics, using the work of Jose Delgado, Norbert Wiener, and Bernard Wolfe. The rhetoric of social control remains a shadow side of brain research, of the (...)
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  25. Machinery of Consciousness.Marvin L. Minsky - 1991
     
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  26.  72
    Mental machinery and Godel.Robert Kirk - 1986 - Synthese 66 (March):437-452.
  27.  54
    Romantic machinery: John Tresch: The romantic machine: Utopian science and technology after Napoleon. Chicago and London: University of Chicago Press, 2012, xviii+449pp, $40.00 HB.Robert Fox - 2013 - Metascience 23 (2):365-367.
    One of Alfred North Whitehead’s Lowell lectures of 1925 encapsulated a common belief about the relations between science and romanticism. In a chapter on “The romantic reaction” in the published version of the lectures, Whitehead presented science and the romantic spirit as fundamentally at odds (Whitehead 1926, chapter 5). The romantic world view, for Whitehead, had no place for perceptions of nature as an unfeeling law-bound machine. Against the conventional scientific virtues of objectivity, it stressed subjectivity, and against the model (...)
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  28.  16
    The Machinery of Pain: Romantic Suffering in Three Works of Iris Murdoch.Margaret Scanlan - 1977 - Renascence 29 (2):69-85.
  29.  6
    The Machinery Question and the Making of Political Economy, 1815-1848. Maxine Berg.Steven Shapin - 1981 - Isis 72 (3):508-509.
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  30. Voting Machinery, Counting and Public Proofs in the 2000 US Presidential Election.Michael Lynch, Stephen Hilgartner & Carin Berkowitz - 2005 - In Bruno Latour & Peter Weibel (eds.), Making Things Public. MIT Press. pp. 814--25.
     
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  31. The machinery of the collapse: on Republic VIII.R. Jenks - 2002 - History of Political Thought 23 (1):22-29.
    I link together the nuptial number, that ‘whole geometric number', represented as the areas of two distinct figures -- a square and a rectangle -- with the ‘triangles in ascending order'. I locate an indeterminancy in the conditions for the production of the ‘divine creature', which I take to be a philosopher , and suggest a new interpretation of the breakdown of the eugenics programme. I try to show how and why that breakdown is metaphysically necessary. I argue that Plato (...)
     
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  32.  20
    The machinery of consistency proofs.Mariko Yasugi - 1989 - Annals of Pure and Applied Logic 44 (1-2):139-152.
  33.  37
    Machinery, Monstrosity, and Bestiality: An Analysis of Repulsion in Kierkegaard's Practice in Christianity.Ryan Johnson - 2014 - Heythrop Journal 55 (5):903-915.
    In reaction to a particularly scathing review of his Practice in Christianity, Kierkegaard postulated what he called a ‘preacher-machine.’ As we will see, the preacher-machine is only one type of character-machine, for, in Practice in Christianity, there are five other such machines. Starting up these character-machines will allow for an analysis of the repulsion of the God-man, Christ himself. This repulsion is important because Kierkegaard claims that it is the condition for the emergence of faith. After discussing repulsion, Kierkegaard will (...)
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  34.  11
    Machinery of the Mind: Data, Theory, and Speculations About Higher Brain Function.E. Roy John (ed.) - 1990 - Birkhauser.
    In the spring of 1987, I was in Havana, Cuba, where I was participating in planning a large-scale longitudinal study of the neurophysiological, neurochemical, and behavioral characteristics of cohorts of patients with cerebrovascular disease, depression, senile dementia, schizophrenia, or learning disabilities; and also part of this study were their first-degree blood relatives. This study was the outgrowth of a long-term project on the practical application of computer methods for the evaluation of brain electrical activity related to anatomical integrity, maturational development, (...)
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  35.  2
    Spectral Machinery (or Beyond Essence and System).Laurie Johnson - 2012 - Journal of Philosophy: A Cross-Disciplinary Inquiry 7 (17):40-59.
    The prospects for a phenomenology of technology have been guided in the past decade by a split between supporters of Martin Heidegger and those who subscribe to Bernard Stiegler’s critique of Heidegger. This essay proposes that both are needed for a phenomenology of what Edward Castronova calls “synthetic worlds” (large on-line environments like Second Life and World of Warcraft). Here is a phenomenology that must take into account histories of design and technical evolution to account for the particular “fantasy of (...)
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  36.  13
    Spectral Machinery (or Beyond Essence and System).Laurie Johnson - 2012 - Journal of Philosophy: A Cross-Disciplinary Inquiry 7 (17):40-59.
    The prospects for a phenomenology of technology have been guided in the past decade by a split between supporters of Martin Heidegger and those who subscribe to Bernard Stiegler’s critique of Heidegger. This essay proposes that both are needed for a phenomenology of what Edward Castronova calls “synthetic worlds” (large on-line environments like Second Life and World of Warcraft). Here is a phenomenology that must take into account histories of design and technical evolution to account for the particular “fantasy of (...)
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  37.  29
    One machinery, multiple cognitive states: The value of the AIM model.C. M. Portas - 2000 - Behavioral and Brain Sciences 23 (6):993-994.
    The AIM model represents an original and comprehensive example of how changes in conscious states can be reconciled with specific neurophysiological factors. However, further elucidation of the biological parameters necessary to define a specific space-state relationship should be considered. [Hobson et al.; Solms].
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  38.  53
    Computing Machinery and Understanding.Michael Ramscar - 2010 - Cognitive Science 34 (6):966-971.
    How are natural symbol systems best understood? Traditional “symbolic” approaches seek to understand cognition by analogy to highly structured, prescriptive computer programs. Here, we describe some problems the traditional computational metaphor inevitably leads to, and a very different approach to computation (Ramscar, Yarlett, Dye, Denny, & Thorpe, 2010; Turing, 1950) that allows these problems to be avoided. The way we conceive of natural symbol systems depends to a large degree on the computational metaphors we use to understand them, and machine (...)
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  39.  16
    Striving Machinery: The Romantic Origins of a Historical Science of Life.Jessica Riskin - 2015 - Intellectual History Review 25 (3):293-309.
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  40. Computing machinery and emergence: The aesthetics and metaphysics of video games.Jon Cogburn & Mark Silcox - 2004 - Minds and Machines 15 (1):73-89.
    We build on some of Daniel Dennett’s ideas about predictive indispensability to characterize properties of video games discernable by people as computationally emergent if, and only if: (1) they can be instantiated by a computing machine, and (2) there is no algorithm for detecting instantiations of them. We then use this conception of emergence to provide support to the aesthetic ideas of Stanley Fish and to illuminate some aspects of the Chomskyan program in cognitive science.
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  41.  4
    New Machinery, Olden Tasks?Daniel B. Tiskin - 2018 - Epistemology and Philosophy of Science 55 (4):38-43.
    This reply to Oleg Domanov’s target paper is not concerned with the technicalities of the proposed approach. Rather, I discuss the fruitfulness of the underlying ideas in dealing with Quine’s famous “double vision” scenario, for which the approach is designed. I point out some key ingredients of Domanov’s proposal: (a) context dependence of propositional attitude ascription (and ascribability); (b) replacement of individuals with finer-grained entities for reference and quantification, such as Kaplan’s “vivid names”, Frege and Yalcin’s senses or Percus and (...)
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  42.  9
    As if by Machinery: The Levelling of Educational Research.Richard Smith - 2006 - Journal of Philosophy of Education 40 (2):157-168.
    Much current educational research shows the influence of two powerful but potentially pernicious lines of thought. The first, which can be traced at least as far back as Francis Bacon, is the ambition to formulate precise techniques of research, or ‘research methods’, which can be applied reliably irrespective of the talent of the researcher. The second is the recognition that in the social sciences we—humankind—are ourselves the objects of our study. The first line of thought threatens to cut educational research (...)
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  43.  11
    Sur la machinerie logique de la dialectique postclassique : le Kitāb ʿAyn al-Naẓar de Shams al-Dīn al-Samarqandī (m. 722/1322). [REVIEW]Walter Edward Young - 2022 - Methodos 22.
    The post-classical (or post-Avicennan, post-Rāzian) genre of the “protocols for dialectical inquiry and disputation” (ādāb al-baḥth wa-l-munāẓara) has its more proximate origins in the famed Risāla of Shams al-Dīn al-Samarqandī (d. 722/1322). The greater part of his conceptions and methodology, however, consists in a streamlining and universalizing of the more strictly juristic dialectic (jadal / khilāf) of his teacher Burhān al-Dīn al-Nasafī (d. 687/1288); and this in turn draws on the highly logicized dialectic of Rukn al-Dīn al-ʿAmīdī (d. 615/1218) and (...)
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  44. Road Work Ahead: Heavy Machinery on the Easy Road.M. Colyvan - 2012 - Mind 121 (484):1031-1046.
    In this paper I reply to Jody Azzouni, Otávio Bueno, Mary Leng, David Liggins, and Stephen Yablo, who offer defences of so-called ‘ easy road ’ nominalist strategies in the philosophy of mathematics.
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  45.  84
    Alan Turing’s “Computing Machinery and Intelligence”.Cristiano Castelfranchi - 2013 - Topoi 32 (2):293-299.
  46.  20
    The nuclear import machinery is a determinant of influenza virus host adaptation.Patricia Resa-Infante & Gülsah Gabriel - 2013 - Bioessays 35 (1):23-27.
    After viral entry into the cell, the nuclear envelope poses a major cellular barrier that needs to be overcome upon adaptation of highly pathogenic avian influenza viruses (HPAIV) to the new host. To ensure efficient viral transcription and replication in the nucleus of the host cell, the viral polymerase complex of avian influenza viruses needs to switch from recognition of avian to mammalian components of the nuclear import machinery. Recent evidence suggests that influenza viruses have evolved different mechanisms to (...)
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  47. Should damage to the machinery for social perception damage perception.Peter Carruthers & Vincent Picciuto - 2011 - Cognitive Neuroscience 2 (2):116-17.
    We argue that Graziano and Kastner are mistaken to claim that neglect favors their self-directed social perception account of consciousness. For the latter should not predict that neglect would result from damage to mechanisms of social perception. Neglect is better explained in terms of damage to attentional mechanisms.
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  48.  25
    Evolution and the Machinery of Chance: Philosophy, Probability, and Scientific Practice in Biology.Marshall Abrams - 2023 - University of Chicago Press.
    Background on probability and evolution -- Laying the foundation. Population-environment systems ; Causal probability and empirical practice ; Irrelevance of fitness as a causal property of token organisms ; Roles of environmental variation in selection -- Reconstructing evolution and chance. Populations in biological practice: Pragmatic yet real ; Real causation in pragmatic population-environment systems ; Fitness concepts in measurement and modeling ; Chance in population-environment systems ; The input measure problem for MM-CCS chance -- Conclusion.
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  49.  34
    As if by machinery: The levelling of educational research.Richard Smith - 2006 - Journal of Philosophy of Education 40 (2):157–168.
    Much current educational research shows the influence of two powerful but potentially pernicious lines of thought. The first, which can be traced at least as far back as Francis Bacon, is the ambition to formulate precise techniques of research, or ‘research methods’, which can be applied reliably irrespective of the talent of the researcher. The second is the recognition that in the social sciences we—humankind—are ourselves the objects of our study. The first line of thought threatens to cut educational research (...)
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  50. Women's Policy Machinery in Italy between European Pressure and Domestic Constrains.Guadagnini Marila & Donà Alessia - 2007 - In Joyce Outshoorn & Johanna Kantola (eds.), Changing State Feminism. Palgrave-Macmillan. pp. 164--81.
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