Apophenia and the Openness-Psychoticism Dimension
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Being of Analogy Noah Roderick Noah Roderick the Being of Analogy
Noah Roderick The Being of Analogy Noah Roderick Noah Roderick The Being of Analogy The Being of Modern physics replaced the dualism of matter and form with a new distinction between matter and force. In this way form was marginalized, and with it the related notion of the object. Noah Roderick’s book is a refreshing effort to reverse the consequences of this now banal mainstream materialism. Ranging from physics through literature to linguistics, spanning philosophy from East to West, and weaving it all together in remarkably lucid prose, Roderick intro- duces a new concept of analogy that sheds unfamiliar light on such thinkers as Marx, Deleuze, Goodman, Sellars, and Foucault. More than a literary device, analogy teaches us something about being itself. OPEN HUMANITIES PRESS Cover design by Katherine Gillieson · Illustration by Tammy Lu The Being of Analogy New Metaphysics Series Editors: Graham Harman and Bruno Latour The world is due for a resurgence of original speculative metaphysics. The New Metaphys- ics series aims to provide a safe house for such thinking amidst the demoralizing caution and prudence of professional academic philosophy. We do not aim to bridge the analytic- continental divide, since we are equally impatient with nail-filing analytic critique and the continental reverence for dusty textual monuments. We favor instead the spirit of the intel- lectual gambler, and wish to discover and promote authors who meet this description. Like an emergent recording company, what we seek are traces of a new metaphysical ‘sound’ from any nation of the world. The editors are open to translations of neglected metaphysical classics, and will consider secondary works of especial force and daring. -
Experimental Practices in Economics: a Methodological Challenge for Psychologists?
BEHAVIORAL AND BRAIN SCIENCES (2001) 24, 383–451 Printed in the United States of America Experimental practices in economics: A methodological challenge for psychologists? Ralph Hertwig Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, 14195 Berlin, Germany. [email protected] Andreas Ortmann Center for Economic Research and Graduate Education, Charles University, and Economics Institute, Academy of Sciences of the Czech Republic, 111 21 Prague 1, Czech Republic. [email protected] Abstract: This target article is concerned with the implications of the surprisingly different experimental practices in economics and in areas of psychology relevant to both economists and psychologists, such as behavioral decision making. We consider four features of ex- perimentation in economics, namely, script enactment, repeated trials, performance-based monetary payments, and the proscription against deception, and compare them to experimental practices in psychology, primarily in the area of behavioral decision making. Whereas economists bring a precisely defined “script” to experiments for participants to enact, psychologists often do not provide such a script, leaving participants to infer what choices the situation affords. By often using repeated experimental trials, economists allow participants to learn about the task and the environment; psychologists typically do not. Economists generally pay participants on the ba- sis of clearly defined performance criteria; psychologists usually pay a flat fee or grant a fixed amount of course credit. Economists vir- tually never deceive participants; psychologists, especially in some areas of inquiry, often do. We argue that experimental standards in economics are regulatory in that they allow for little variation between the experimental practices of individual researchers. -
Working Memory, Cognitive Miserliness and Logic As Predictors of Performance on the Cognitive Reflection Test
Working Memory, Cognitive Miserliness and Logic as Predictors of Performance on the Cognitive Reflection Test Edward J. N. Stupple ([email protected]) Centre for Psychological Research, University of Derby Kedleston Road, Derby. DE22 1GB Maggie Gale ([email protected]) Centre for Psychological Research, University of Derby Kedleston Road, Derby. DE22 1GB Christopher R. Richmond ([email protected]) Centre for Psychological Research, University of Derby Kedleston Road, Derby. DE22 1GB Abstract Most participants respond that the answer is 10 cents; however, a slower and more analytic approach to the The Cognitive Reflection Test (CRT) was devised to measure problem reveals the correct answer to be 5 cents. the inhibition of heuristic responses to favour analytic ones. The CRT has been a spectacular success, attracting more Toplak, West and Stanovich (2011) demonstrated that the than 100 citations in 2012 alone (Scopus). This may be in CRT was a powerful predictor of heuristics and biases task part due to the ease of administration; with only three items performance - proposing it as a metric of the cognitive miserliness central to dual process theories of thinking. This and no requirement for expensive equipment, the practical thesis was examined using reasoning response-times, advantages are considerable. There have, moreover, been normative responses from two reasoning tasks and working numerous correlates of the CRT demonstrated, from a wide memory capacity (WMC) to predict individual differences in range of tasks in the heuristics and biases literature (Toplak performance on the CRT. These data offered limited support et al., 2011) to risk aversion and SAT scores (Frederick, for the view of miserliness as the primary factor in the CRT. -
Maria-Pia Victoria-Feser GSEM, University of Geneva B [email protected] Professor of Statistics
Research Center for Statistics Maria-Pia Victoria-Feser GSEM, University of Geneva B [email protected] Professor of Statistics Executive Summary (September 2019) Employment I started my career as a lecturer at the London School of Economics (LSE) in 1993, the year I completed history my Ph. D. in econometrics and statistics. In 1997, I was hired as lecturer in the Faculty of Psychology and Educational Sciences (FPSE) of the University of Geneva. Between 1997 and 2001, my position has evolved until I became full professor (50%) in 2001 at HEC-Genève. Since 2018, I have a 100% permanent position at the Geneva School of Economics and Management (GSEM). Awards and I received a total of 3,277,537 CHF of personal research funding (Swiss National Science Foundation grants (SNSF) and private) for seven projects, and over 500,000 CHF of research funding for collaborative projects. I was awarded the Latzis International Prize (1995) for my Ph. D. Thesis, as well as a doctoral (1991) and a professorial (2000) fellowships from the SNSF. Research My main research interest is statistical methodology and its application in different domains. I started with the development of robust methods of estimation and inference for application in economics (welfare analysis, risk analysis) and psychology (psychometric). I am also interested in computational statistics and have developed estimation methods for complex models (latent dependence structures, missing data), time series (signal processing), and model selection in high dimensions. My publications are often co-authored with former Ph. D. students or with academic researchers in other universities and/or outside the methodological statistics field. -
Aesthetics After Finitude Anamnesis Anamnesis Means Remembrance Or Reminiscence, the Collection and Re- Collection of What Has Been Lost, Forgotten, Or Effaced
Aesthetics After Finitude Anamnesis Anamnesis means remembrance or reminiscence, the collection and re- collection of what has been lost, forgotten, or effaced. It is therefore a matter of the very old, of what has made us who we are. But anamnesis is also a work that transforms its subject, always producing something new. To recollect the old, to produce the new: that is the task of Anamnesis. a re.press series Aesthetics After Finitude Baylee Brits, Prudence Gibson and Amy Ireland, editors re.press Melbourne 2016 re.press PO Box 40, Prahran, 3181, Melbourne, Australia http://www.re-press.org © the individual contributors and re.press 2016 This work is ‘Open Access’, published under a creative commons license which means that you are free to copy, distribute, display, and perform the work as long as you clearly attribute the work to the authors, that you do not use this work for any commercial gain in any form whatso- ever and that you in no way alter, transform or build on the work outside of its use in normal aca- demic scholarship without express permission of the author (or their executors) and the publisher of this volume. For any reuse or distribution, you must make clear to others the license terms of this work. For more information see the details of the creative commons licence at this website: http://creativecommons.org/licenses/by-nc-nd/2.5/ National Library of Australia Cataloguing-in-Publication Data Title: Aesthetics after finitude / Baylee Brits, Prudence Gibson and Amy Ireland, editors. ISBN: 9780980819793 (paperback) Series: Anamnesis Subjects: Aesthetics. -
Opting-In: Participation Bias in Economic Experiments*
Opting-in: Participation Bias in Economic Experiments* Robert Slonim** School of Economics, Faculty of Arts and Social Sciences, University of Sydney and IZA Carmen Wang Harvard Business School Ellen Garbarino Discipline of Marketing, Business School, University of Sydney Danielle Merrett The World Bank, Sydney, Australia. Abstract Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data from a typical recruitment population and then inviting them to participate in a lab experiment. The results indicate that lab participants are not representative of the target population on almost all the hypothesized characteristics, including having lower income, working fewer hours, volunteering more often, and exhibiting behaviors correlated with interest in experiments and economics. The results reinforce the commonly understood limits of laboratory research to make quantitative inferences. We also discuss several methods for addressing non-representative biases to advance laboratory methods for improving quantitative inferences and consequently increasing confidence in qualitative conclusions. Key words: Participation Bias, Laboratory Experiments *Acknowledgements: We have greatly benefitted from numerous seminar participant comments at the University of Sydney, the Winter School on Experimental Economics at the University of Sydney, the University of Technology, Sydney, the University of New South Wales and the 6th annual Australia-New Zealand Workshop in Experimental Economics. We also appreciate comments and suggestions from Paul Frijters, Simon Gaechter, Ben Greiner, Nickolas Feltovich, Nikos Nikiforakis, Andreas Ortmann, the editor and two anonymous reviewers at the Journal of Economic Behavior and Organization. -
UCLA Electronic Theses and Dissertations
UCLA UCLA Electronic Theses and Dissertations Title Bias Analyses in Population-Based Studies of Parkinson’s Disease Permalink https://escholarship.org/uc/item/37k4j1j0 Author Cui, Xin Publication Date 2015 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA Los Angeles Bias Analyses in Population-Based Studies of Parkinson’s Disease A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Epidemiology by Xin Cui 2015 - 1 - © Copyright by Xin Cui 2015 - 2 - ABSTRACT OF THE DISSERTATION Bias Analyses in Population-Based Studies of Parkinson’s Disease by Xin Cui Doctor of Philosophy in Epidemiology University of California, Los Angeles, 2015 Professor Beate Ritz, Chair This dissertation work investigates two types of biases in population-based studies of Parkinson’s disease (PD), one is survivor bias in estimating the association between PD and cancer, the other is exposure misclassification due to residential mobility and time-varying exposure. Negative associations between PD and cancer have been found in epidemiological studies. Several mechanisms were proposed to explain such reported inverse associations. In the first and second part of this work we propose two similar survivor bias mechanisms that may account for the observed negative associations with cancer both prior to and after the diagnosis of PD as an alternative explanation. Using a large Danish population-based case-control study of ii Parkinson’s disease as an example, we utilize causal theory, Monte Carlo methods and inverse probability-of-censoring weights techniques to quantitatively investigate how the observed negative association can be explained by the hypothesized bias. -
Biases in Machine Learning Models and Big Data Analytics: the International Criminal and Humanitarian Law Implications Nema Milaninia*
International Review of the Red Cross (2020), 102 (913), 199–234. Digital technologies and war doi:10.1017/S1816383121000096 Biases in machine learning models and big data analytics: The international criminal and humanitarian law implications Nema Milaninia* Abstract Advances in mobile phone technology and social media have created a world where the volume of information generated and shared is outpacing the ability of humans to review and use that data. Machine learning (ML) models and “big data” analytical tools have the power to ease that burden by making sense of this information and providing insights that might not otherwise exist. In the context of international criminal and human rights law, ML is being used for a variety of purposes, including to uncover mass graves in Mexico, find evidence of homes and schools destroyed in Darfur, detect fake videos and doctored evidence, predict the outcomes of judicial hearings at the European Court of Human Rights, and gather evidence of war crimes in Syria. ML models are also increasingly being incorporated by States into weapon systems in order to better enable targeting * The views expressed herein are those of the author alone and do not necessarily reflect the views of the ICC Office of the Prosecutor or Google. The author would like to thank Nasrina Bargzie, Alexa Koenig, Matthew Cross, Beth Van Schaack, María Sol Beker, Jérôme de Hemptinne, Nikki Ahmadi, Gayane Khechoomian, Yulia Nuzban, and the editors of the International Review of the Red Cross, Bruno Demeyere, Sai Venkatesh and Ash Stanley-Ryan, for their considerably important and insightful input and feedback. -
Examining the Effects of Gender and Written Communication Style on Task Completion
St. Cloud State University theRepository at St. Cloud State Culminating Projects in Economics Department of Economics 3-2021 To Perform or Not to Perform? Examining the Effects of Gender and Written Communication Style on Task Completion Alvaro Plachejo [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/econ_etds Recommended Citation Plachejo, Alvaro, "To Perform or Not to Perform? Examining the Effects of Gender and Written Communication Style on Task Completion" (2021). Culminating Projects in Economics. 17. https://repository.stcloudstate.edu/econ_etds/17 This Thesis is brought to you for free and open access by the Department of Economics at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Economics by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. To Perform or Not to Perform? Examining the Effects of Gender and Written Communication Style on Task Completion By Álvaro Plachejo A Thesis Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Applied Economics March, 2021 Thesis Committee: Mana Komai Molle, Chairperson Patricia Hughes Susan Parault Dowds 2 Abstract I study the effect of two power categories, gender (male/female) and written communication style (strong language/weak language) on performance. To examine this relationship, these two attributes are considered in a request to perform a task using an experimental design on Amazon Mechanical Turk. Three variations of the experiment are performed: announcing an additional monetary reward for task performance, not announcing the reward, and explicitly warning that no reward is provided. -
Mitigating the Attraction Effect with Visualizations Evanthia Dimara, Gilles Bailly, Anastasia Bezerianos, Steven Franconeri
Mitigating the Attraction Effect with Visualizations Evanthia Dimara, Gilles Bailly, Anastasia Bezerianos, Steven Franconeri To cite this version: Evanthia Dimara, Gilles Bailly, Anastasia Bezerianos, Steven Franconeri. Mitigating the Attrac- tion Effect with Visualizations. IEEE Transactions on Visualization and Computer Graphics, Insti- tute of Electrical and Electronics Engineers, 2019, TVCG 2019 (InfoVis 2018), 25 (1), pp.850 - 860. 10.1109/TVCG.2018.2865233. hal-01845004v2 HAL Id: hal-01845004 https://hal.inria.fr/hal-01845004v2 Submitted on 22 Aug 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TVCG.2018.2865233, IEEE Transactions on Visualization and Computer Graphics Mitigating the Attraction Effect with Visualizations Evanthia Dimara, Gilles Bailly, Anastasia Bezerianos, and Steven Franconeri Abstract—Human decisions are prone to biases, and this is no less true for decisions made within data visualizations. Bias mitigation strategies often focus on the person, by educating people about their biases, typically with little success. We focus instead on the system, presenting the first evidence that altering the design of an interactive visualization tool can mitigate a strong bias – the attraction effect. -
How a Machine Learns and Fails 2019
Repositorium für die Medienwissenschaft Matteo Pasquinelli How a Machine Learns and Fails 2019 https://doi.org/10.25969/mediarep/13490 Veröffentlichungsversion / published version Zeitschriftenartikel / journal article Empfohlene Zitierung / Suggested Citation: Pasquinelli, Matteo: How a Machine Learns and Fails. In: spheres: Journal for Digital Cultures. Spectres of AI (2019), Nr. 5, S. 1–17. DOI: https://doi.org/10.25969/mediarep/13490. Erstmalig hier erschienen / Initial publication here: https://spheres-journal.org/wp-content/uploads/spheres-5_Pasquinelli.pdf Nutzungsbedingungen: Terms of use: Dieser Text wird unter einer Creative Commons - This document is made available under a creative commons - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0/ Attribution - Non Commercial - No Derivatives 4.0/ License. For Lizenz zur Verfügung gestellt. Nähere Auskünfte zu dieser Lizenz more information see: finden Sie hier: http://creativecommons.org/licenses/by-nc-nd/4.0/ http://creativecommons.org/licenses/by-nc-nd/4.0/ © the author(s) 2019 www.spheres-journal.org ISSN 2363-8621 #5 Spectres of AI sadfasdf MATTEO PASQUINELLI HOW A MACHINE LEARNS AND FAILS – A GRAMMAR OF ERROR FOR ARTIFICIAL INTELLIGENCE “Once the characteristic numbers are established for most concepts, mankind will then possess a new instrument which will enhance the capabilities of the mind to a far greater extent than optical instruments strengthen the eyes, and will supersede the microscope and telescope to the same extent that reason is superior to eyesight.”1 — Gottfried Wilhelm Leibniz. “The Enlightenment was […] not about consensus, it was not about systematic unity, and it was not about the deployment of instrumental reason: what was developed in the Enlightenment was a modern idea of truth defined by error, a modern idea of knowledge defined by failure, conflict, and risk, but also hope.”2 — David Bates. -
Research Participation Effects: a Skeleton in the Methodological
Journal of Clinical Epidemiology - (2014) - COMMENTARY Research participation effects: a skeleton in the methodological cupboard* Jim McCambridgea,*, Kypros Kyprib, Diana Elbournec aFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK bCentre for ClinicalEpidemiologyand Biostatistics, School ofMedicineand Public Health, University of Newcastle, HMRIBuilding,Callaghan NSW2308, Australia cDepartment of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK Accepted 14 March 2014; Published online xxxx Abstract Objective: There have been concerns about impacts of various aspects of taking part in research studies for a century. The concerns have not, however, been sufficiently well conceptualized to form traditions of study capable of defining and elaborating the nature of these problems. In this article we present a new way of thinking about a set of issues attracting long-standing attention. Study Design and Setting: We briefly review existing concepts and empirical work on well-known biases in surveys and cohort studies and propose that they are connected. Results: We offer the construct of ‘‘research participation effects’’ (RPE) as a vehicle for advancing multi-disciplinary understanding of biases. Empirical studies are needed to identify conditions in which RPE may be sufficiently large to warrant modifications of study design, analytic methods, or interpretation. We consider the value of adopting a more participant-centred view of the research process as a way of thinking about these issues, which may also have benefits in relation to research methodology more broadly. Conclusion: Researchers may too readily overlook the extent to which research studies are unusual contexts, and that people may react in unexpected ways towhat we invite them to do, introducing a range of biases.