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  1.  73
    What is Mechanistic Evidence, and Why Do We Need It for Evidence-Based Policy?Caterina Marchionni & Samuli Reijula - 2019 - Studies in History and Philosophy of Science Part A 73:54-63.
    It has recently been argued that successful evidence-based policy should rely on two kinds of evidence: statistical and mechanistic. The former is held to be evidence that a policy brings about the desired outcome, and the latter concerns how it does so. Although agreeing with the spirit of this proposal, we argue that the underlying conception of mechanistic evidence as evidence that is different in kind from correlational, difference-making or statistical evidence, does not correctly capture the role that information about (...)
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  2.  27
    Argumentative Landscapes: The Function of Models in Social Epistemology.N. Emrah Aydinonat, Samuli Reijula & Petri Ylikoski - forthcoming - Synthese 199 (1-2):369-395.
    We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in social epistemology and highlight their limitations. We also claim that (...)
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  3.  69
    Modeling Epistemic Communities.Samuli Reijula & Jaakko Kuorikoski - forthcoming - In Miranda Fricker, Peter J. Graham, David Henderson & Nikolaj Jang Lee Linding Pedersen (eds.), The Routledge Handbook of Social Epistemology. Routledge.
    We review the most prominent modeling approaches in social epistemology aimed at understand- ing the functioning of epistemic communities and provide a philosophy of science perspective on the use and interpretation of such simple toy models, thereby suggesting how they could be integrated with conceptual and empirical work. We highlight the need for better integration of such models with relevant findings from disciplines such as social psychology and organization studies.
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  4.  23
    The Diversity-Ability Trade-Off in Scientific Problem Solving.Samuli Reijula & Jaakko Kuorikoski - forthcoming - Philosophy of Science (Supplement).
    According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model which captures the role of ‘ability’ in a meaningful way, and use it to explore the trade-offs between diversity and ability (...)
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  5.  3
    The Diversity-Ability Trade-Off in Scientific Problem Solving.Samuli Reijula & Jaakko Kuorikoski - 2021 - Philosophy of Science 88 (5):894-905.
    According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model that captures the role of ‘ability’ in a meaningful way, and we use it to explore the trade-offs between diversity and (...)
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  6. Hacking, Ian (1936–).Samuli Reijula - 2021 - Routledge Encyclopedia of Philosophy.
    Ian Hacking (born in 1936, Vancouver, British Columbia) is most well-known for his work in the philosophy of the natural and social sciences, but his contributions to philosophy are broad, spanning many areas and traditions. In his detailed case studies of the development of probabilistic and statistical reasoning, Hacking pioneered the naturalistic approach in the philosophy of science. Hacking’s research on social constructionism, transient mental illnesses, and the looping effect of the human kinds make use of historical materials to shed (...)
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  7.  40
    Looping Kinds and Social Mechanisms.Jaakko Kuorikoski & Samuli Reijula - 2012 - Sociological Theory 30 (3):187-205.
    Human behavior is not always independent of the ways in which humans are scientifically classified. That there are looping effects of human kinds has been used as an argument for the methodological separation of the natural and the human sciences and to justify social constructionist claims. We suggest that these arguments rely on false presuppositions and present a mechanisms-based account of looping that provides a better way to understand the phenomenon and its theoretical and philosophical implications.
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  8. How Could a Rational Analysis Model Explain?Samuli Reijula - 2017 - COGSCI 2017: 39th Annual Conference of the Cognitive Science Society,.
    Rational analysis is an influential but contested account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind. In this paper, I disentangle and assess several possible explanatory contributions which could be attributed to rational analysis. Although existing models suffer from evidential problems that question their explanatory power, I argue that rational analysis modeling can complement mechanistic theorizing by providing models of environmental affordances.
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  9.  14
    Social Categories in the Making: Construction or Recruitment?Samuli Reijula - 2021 - Synthese 199 (5-6):12315-12330.
    Real kinds, both natural and social categories, are characterized by rich inductive potential. They have relatively stable sets of conceptually independent projectable properties. Somewhat surprisingly, even some purely social categories show such multiple projectability. The article explores the origin of the inductive richness of social categories and concepts. I argue that existing philosophical accounts provide only a partial explanation, and mechanisms of boundary formation and stabilization must be brought into view for a more comprehensive account of inductively rich social categories.
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  10.  36
    Nudge, Boost or Design? Limitations of Behavioral Policy Under Social Interaction.Samuli Reijula, Jaakko Kuorikoski, Timo Ehrig, Konstantinos Katsikopoulos & Shyam Sunder - 2018 - Journal of Behavioral Economics for Policy 2 (1):99-105.
    Nudge and boost are two competing approaches to applying the psychology of reasoning and decision making to improve policy. Whereas nudges rely on manipulation of choice architecture to steer people towards better choices, the objective of boosts is to develop good decision-making competences. Proponents of both approaches claim capacity to enhance social welfare through better individual decisions. We suggest that such efforts should involve a more careful analysis of how individual and social welfare are related in the policy context. First, (...)
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  11. Olemukset piilopremisseinä argumentaatiossa.Tomi Kokkonen & Samuli Reijula - 2012 - In Juho Ritola (ed.), Tutkimuksia Argumentaatiosta. pp. 191-206.
    Tarkastelemme tässä artikkelissa, kuinka ihmisen psykologinen taipumus olemusajatteluun eli niin kutsuttu psykologinen essentialismi voisi näkyä argumentaatiossa. Esittelemme ensin psykologista tutkimusta aiheesta, minkä jälkeen tarkastelemme ilmiön merkitystä argumentaation ja sen tutkimuksen kannalta. Olemusajattelu näkyy julkilausumattomina taustaoletuksina, jotka kuitenkin vaikuttavat ihmisten tapaan tehdä päätelmiä ja rakentaa argumentteja. Argumentaation yhteydessä olemusajattelua tulee tarkastella taipumuksena tietynlaisiin piilopremisseihin. Lopuksi pohdimme, mitä merkitystä tällä voisi olla filosofian näkökulmasta.
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  12. Kokeellinen yhteiskuntatiede.Jaakko Kuorikoski & Samuli Reijula - 2018 - In Tuukka Kaidesoja, Tomi Kankainen & Petri Ylikoski (eds.), Syistä selityksiin. Kausaalisuus ja selittäminen yhteiskuntatieteissä. pp. 279-307.
    Tässä luvussa tarkastelemme hypoteesien testaamista ja kokeellista kausaalista järkeilyä tieteenfilosofisesta näkökulmasta. Arvioimme kokeellisen menetelmän mahdollisuuksia ja rajoituksia yhteiskuntatieteellisen tutkimuksen kontekstissa, jossa luonnontieteille ominaisia yleispäteviä teorioita harvoin on saatavilla ja jossa suoraviivaisiin kausaaliväitteisiin suhtaudutaan usein epäillen. Tämä luku ei siis ole menetelmäopas, joka kädestä pitäen opastaisi, kuinka yhteiskuntatieteellisiä kokeita tulisi rakentaa, vaan katsaus niihin perustaviin metodologisiin kysymyksiin ja periaatteisiin, joihin varsinaiset menetelmät nojaavat.
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  13. Psykologia tieteenalana ja asiakastyönä. [REVIEW]Samuli Reijula - 2016 - Niin and Näin 16:132-134.
    Psykologian identiteetti tieteenalana ja ammattikuntana on jännitteinen. Etenkin akateemisissa yhteyksissä psykologia pyrkii usein erottautumaan muista ihmistieteistä metodisesti luonnontieteitä ja niiden kvantitatiivisia menetelmiä lähellä olevana tutkimusalana. Ihmismielen tutkimuksessa neurotieteen rooli on viime vuosikymmeninä kasvanut merkittävästi, ja parhailla julkaisufoorumeilla psykologisten tulosten tukemisesta aivotason evidenssillä on tullut lähes välttämättömyys. Toisaalta kuten Vesa Talvitie kirjassaan Arkipsykologiasta Aivotutkimukseen – kysymyksiä psykologian filosofiasta toistuvasti osoittaa, akateemisen tutkimuksen ulkopuolella työskentelevän psykologin tarkastelukulma ihmismieleen on tyypillisesti toisenlainen. Työuupumuksesta kärsivää tai läheisen kuolemasta masentunutta asiakasta ei ole mielekästä nähdä vain (...)
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