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Author Araya-Letelier, G.; Parra, P.F.; Lopez-Garcia, D.; Garcia-Valdes, A.; Candia, G.; Lagos, R.
Title Collapse risk assessment of a Chilean dual wall-frame reinforced concrete office building Type
Year 2019 Publication Engineering Structures Abbreviated Journal Eng. Struct.
Volume 183 Issue Pages 770-779
Keywords Collapse assessment; Chilean code-conforming building; Incremental dynamic analyses; Seismic hazard models
Abstract Several code-conforming reinforced concrete buildings were severely damaged during the 2010 moment magnitude (M-w) 8.8 Chile earthquake, raising concerns about their real collapse margin. Although critical updates were introduced into the Chilean design codes after 2010, guidelines for collapse risk assessment of Chilean buildings remain insufficient. This study evaluates the collapse potential of a typical dual system (shear walls and moment frames) office building in Santiago. Collapse fragility functions were obtained through incremental dynamic analyses using a state-of-the-art finite element model of the building. Site-specific seismic hazard curves were developed, which explicitly incorporated epistemic uncertainty, and combined with the collapse fragility functions to estimate the mean annual frequency of collapse (lambda(c)) values and probabilities of collapse in 50-years (P-c(50)). Computed values of lambda(c) and P-c(50) were on the order of 10(-5)-10(-4), and 0.1-0.7%, respectively, consistent with similar studies developed for buildings in the US. The results also showed that the deaggregation of lambda(c) was controlled by small to medium earthquake intensities and that different models of the collapse fragility functions and hazard curves had a non-negligible effect on lambda(c) and P-c(50), and thus, propagation of uncertainty in risk assessment problems must be adequately taken into account.
Address [Araya-Letelier, G.] Pontificia Univ Catolica Chile, Escuela Construcc Civil, Ave Vicuna Mackenna 4860, Santiago 7820436, Chile, Email: gerardo.araya@uc.cl;
Corporate Author Thesis
Publisher Elsevier Sci Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0141-0296 ISBN Medium
Area Expedition Conference
Notes WOS:000462690000055 Approved
Call Number UAI @ eduardo.moreno @ Serial 994
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Author Canessa, E.; Chaigneau, S.E.; Lagos, R.; Medina, F.A.
Title How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology Type
Year 2021 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume 53 Issue Pages 354370
Keywords Conceptual properties norming studies; Property listing task; Parameter estimation; Sample size determination; Sample coverage
Abstract Conceptual properties norming studies (CPNs) ask participants to produce properties that describe concepts. From that data, different metrics may be computed (e.g., semantic richness, similarity measures), which are then used in studying concepts and as a source of carefully controlled stimuli for experimentation. Notwithstanding those metrics' demonstrated usefulness, researchers have customarily overlooked that they are only point estimates of the true unknown population values, and therefore, only rough approximations. Thus, though research based on CPN data may produce reliable results, those results are likely to be general and coarse-grained. In contrast, we suggest viewing CPNs as parameter estimation procedures, where researchers obtain only estimates of the unknown population parameters. Thus, more specific and fine-grained analyses must consider those parameters' variability. To this end, we introduce a probabilistic model from the field of ecology. Its related statistical expressions can be applied to compute estimates of CPNs' parameters and their corresponding variances. Furthermore, those expressions can be used to guide the sampling process. The traditional practice in CPN studies is to use the same number of participants across concepts, intuitively believing that practice will render the computed metrics comparable across concepts and CPNs. In contrast, the current work shows why an equal number of participants per concept is generally not desirable. Using CPN data, we show how to use the equations and discuss how they may allow more reasonable analyses and comparisons of parameter values among different concepts in a CPN, and across different CPNs.
Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-351x ISBN Medium
Area Expedition Conference
Notes WOS:000551760700002 Approved
Call Number UAI @ eduardo.moreno @ Serial 1210
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Author Canessa, E.; Chaigneau, S.E.; Moreno, S.; Lagos, R.
Title Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data Type
Year 2020 Publication Cognitive Processing Abbreviated Journal Cogn. Process.
Volume 21 Issue Pages 601-614
Keywords Cosine similarity; Euclidean distance; Chebyshev distance; Clustering; Conceptual properties
Abstract To study concepts that are coded in language, researchers often collect lists of conceptual properties produced by human subjects. From these data, different measures can be computed. In particular, inter-concept similarity is an important variable used in experimental studies. Among possible similarity measures, the cosine of conceptual property frequency vectors seems to be a de facto standard. However, there is a lack of comparative studies that test the merit of different similarity measures when computed from property frequency data. The current work compares four different similarity measures (cosine, correlation, Euclidean and Chebyshev) and five different types of data structures. To that end, we compared the informational content (i.e., entropy) delivered by each of those 4 x 5 = 20 combinations, and used a clustering procedure as a concrete example of how informational content affects statistical analyses. Our results lead us to conclude that similarity measures computed from lower-dimensional data fare better than those calculated from higher-dimensional data, and suggest that researchers should be more aware of data sparseness and dimensionality, and their consequences for statistical analyses.
Address [Canessa, Enrique; Chaigneau, Sergio E.] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Ave Presidente Errazuriz 3328, Santiago, Chile, Email: ecanessa@uai.cl
Corporate Author Thesis
Publisher Springer Heidelberg Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1612-4782 ISBN Medium
Area Expedition Conference
Notes WOS:000546845700001 Approved
Call Number UAI @ eduardo.moreno @ Serial 1180
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Author Canessa, E.; Chaigneau, S.E.; Moreno, S.; Lagos, R.
Title CPNCoverageAnalysis: An R package for parameter estimation in conceptual properties norming studies Type
Year 2022 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume Early Access Issue Pages
Keywords Conceptual properties norming studies; Property listing task; Parameter estimation; Sample size determination; Sample coverage
Abstract In conceptual properties norming studies (CPNs), participants list properties that describe a set of concepts. From CPNs, many different parameters are calculated, such as semantic richness. A generally overlooked issue is that those values are

only point estimates of the true unknown population parameters. In the present work, we present an R package that allows us to treat those values as population parameter estimates. Relatedly, a general practice in CPNs is using an equal number of participants who list properties for each concept (i.e., standardizing sample size). As we illustrate through examples, this procedure has negative effects on data�s statistical analyses. Here, we argue that a better method is to standardize coverage (i.e., the proportion of sampled properties to the total number of properties that describe a concept), such that a similar coverage is achieved across concepts. When standardizing coverage rather than sample size, it is more likely that the set of concepts in a CPN all exhibit a similar representativeness. Moreover, by computing coverage the researcher can decide whether the

CPN reached a sufficiently high coverage, so that its results might be generalizable to other studies. The R package we make available in the current work allows one to compute coverage and to estimate the necessary number of participants to reach a target coverage. We show this sampling procedure by using the R package on real and simulated CPN data.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-3528 ISBN Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ alexi.delcanto @ Serial 1538
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Author Chaigneau, S.E.; Canessa, E.; Barra, C.; Lagos, R.
Title The role of variability in the property listing task Type
Year 2018 Publication Behavior Research Methods Abbreviated Journal Behav. Res. Methods
Volume 50 Issue 3 Pages 972-988
Keywords Property listing task; Conceptual property norms; Inter-subject variability; Conceptual agreement theory
Abstract It is generally believed that concepts can be characterized by their properties (or features). When investigating concepts encoded in language, researchers often ask subjects to produce lists of properties that describe them (i.e., the Property Listing Task, PLT). These lists are accumulated to produce Conceptual Property Norms (CPNs). CPNs contain frequency distributions of properties for individual concepts. It is widely believed that these distributions represent the underlying semantic structure of those concepts. Here, instead of focusing on the underlying semantic structure, we aim at characterizing the PLT. An often disregarded aspect of the PLT is that individuals show intersubject variability (i.e., they produce only partially overlapping lists). In our study we use a mathematical analysis of this intersubject variability to guide our inquiry. To this end, we resort to a set of publicly available norms that contain information about the specific properties that were informed at the individual subject level. Our results suggest that when an individual is performing the PLT, he or she generates a list of properties that is a mixture of general and distinctive properties, such that there is a non-linear tendency to produce more general than distinctive properties. Furthermore, the low generality properties are precisely those that tend not to be repeated across lists, accounting in this manner for part of the intersubject variability. In consequence, any manipulation that may affect the mixture of general and distinctive properties in lists is bound to change intersubject variability. We discuss why these results are important for researchers using the PLT.
Address [Chaigneau, Sergio E.; Canessa, Enrique] Univ Adolfo Ibanez, Sch Psychol, Ctr Cognit Res CINCO, Av Presidente Errazuriz 3328, Santiago, Chile, Email: sergio.chaigneau@uai.cl
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1554-351x ISBN Medium
Area Expedition Conference
Notes WOS:000434639400008 Approved
Call Number UAI @ eduardo.moreno @ Serial 876
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Author Lagos, R.; Canessa, E.; Chaigneau, S.E.
Title Modeling stereotypes and negative self-stereotypes as a function of interactions among groups with power asymmetries Type
Year 2019 Publication Journal For The Theory Of Social Behaviour Abbreviated Journal J. Theory Soc. Behav.
Volume 49 Issue 3 Pages 312-333
Keywords negative self-; stereotypes; agent based simulation; social power; stereotypes
Abstract Stereotypes is one of the most researched topics in social psychology. Within this context, negative self-stereotypes pose a particular challenge for theories. In the current work, we propose a model that suggests that negative self-stereotypes can theoretically be accounted for by the need to communicate in a social system made up by groups with unequal power. Because our theory is dynamic, probabilistic, and interactionist, we use a computational simulation technique to show that the proposed model is able to reproduce the phenomenon of interest, to provide novel accounts of related phenomena, and to suggest novel empirical predictions. We describe our computational model, our variables' dynamic behavior and interactions, and link our analyses to the literature on stereotypes and self-stereotypes, the stability of stereotypes (in particular, gender and racial stereotypes), the effects of power asymmetries, and the effects of intergroup contact.
Address [Lagos, Rodrigo] Univ Chile, Programa Magister Bioestadist, Santiago, Chile, Email: sergio.chaigneau@uai.cl
Corporate Author Thesis
Publisher Wiley Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0021-8308 ISBN Medium
Area Expedition Conference
Notes WOS:000483671300004 Approved
Call Number UAI @ eduardo.moreno @ Serial 1049
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