Principle and prejudice : attitudes toward ethnic minorities in Quebec

L’intégration des nouveaux immigrants pose un défi, et ce, particulièrement dans les nations infra-étatiques. En effet, les citoyens vivant dans ces contextes ont davantage tendance à percevoir les immigrants comme de potentielles menaces politiques et culturelles. Cependant, les différents groupes ethniques et religieux minoritaires ne représentent pas tous le même degré de menace. Cette étude cherche à déterminer si les citoyens francophones québécois perçoivent différemment les différents groupes ethniques et religieux minoritaires, et s’ils entretiennent des attitudes plus négatives envers ces groupes, comparativement aux autres Canadiens. Dans la mesure où ces attitudes négatives existent, l’étude cherche à comprendre si ces dernières sont basées principalement sur des préjugés raciaux ou sur des inquiétudes culturelles. Se fondant sur des données nationales et provinciales, les résultats démontrent que les francophones Québécois sont plus négatifs envers les minorités religieuses que les autres canadiens mais pas envers les minorités raciales, et que ces attitudes négatives sont fondées principalement sur une inquiétude liée la laïcité et à la sécurité culturelle. L’antipathie envers certaines minorités observée au sein de la majorité francophone au Québec semble donc être dirigée envers des groupes spécifiques, et se fondent sur des principes de nature davantage culturelle que raciale.

Principle and prejudice : attitudes toward ethnic minorities in Quebec

L’intégration des nouveaux immigrants pose un défi, et ce, particulièrement dans les nations infra-étatiques. En effet, les citoyens vivant dans ces contextes ont davantage tendance à percevoir les immigrants comme de potentielles menaces politiques et culturelles. Cependant, les différents groupes ethniques et religieux minoritaires ne représentent pas tous le même degré de menace. Cette étude cherche à déterminer si les citoyens francophones québécois perçoivent différemment les différents groupes ethniques et religieux minoritaires, et s’ils entretiennent des attitudes plus négatives envers ces groupes, comparativement aux autres Canadiens. Dans la mesure où ces attitudes négatives existent, l’étude cherche à comprendre si ces dernières sont basées principalement sur des préjugés raciaux ou sur des inquiétudes culturelles. Se fondant sur des données nationales et provinciales, les résultats démontrent que les francophones Québécois sont plus négatifs envers les minorités religieuses que les autres canadiens mais pas envers les minorités raciales, et que ces attitudes négatives sont fondées principalement sur une inquiétude liée la laïcité et à la sécurité culturelle. L’antipathie envers certaines minorités observée au sein de la majorité francophone au Québec semble donc être dirigée envers des groupes spécifiques, et se fondent sur des principes de nature davantage culturelle que raciale.

Modeling the Aesthetic Axis of Information Organization Frameworks, Part 1: Theoretical Basis

Purpose – The purpose of this paper is to propose a theoretical framework, based on contemporary philosophical aesthetics, from which principled assessments of the aesthetic value of information organization frameworks may be conducted.Design/methodology/approach – This paper identifies appropriate discourses within the field of philosophical aesthetics, constructs from them a framework for assessing aesthetic properties of information organization frameworks. This framework is then applied in two case studies examining the Library of Congress Subject Headings (LCSH), and Sexual Nomenclature: A Thesaurus. Findings – In both information organization frameworks studied, the aesthetic analysis was useful in identifying judgments of the frameworks as aesthetic judgments, in promoting discovery of further areas of aesthetic judgments, and in prompting reflection on the nature of these aesthetic judgments. Research limitations/implications – This study provides proof-of-concept for the aesthetic evaluation of information organization frameworks. Areas of future research are identified as the role of cultural relativism in such aesthetic evaluation and identification of appropriate aesthetic properties of information organization frameworks.Practical implications – By identifying a subset of judgments of information organization frameworks as aesthetic judgments, aesthetic evaluation of such frameworks can be made explicit and principled. Aesthetic judgments can be separated from questions of economic feasibility, functional requirements, and user-orientation. Design and maintenance of information organization frameworks can be based on these principles.Originality/value – This study introduces a new evaluative axis for information organization frameworks based on philosophical aesthetics. By improving the evaluation of such novel frameworks, design and maintenance can be guided by these principles.Keywords Evaluation, Research methods, Analysis, Bibliographic systems, Indexes, Retrieval languages

Modeling the Aesthetic Axis of Information Organization Frameworks, Part 2: Case Studies

Purpose – The purpose of this paper is to propose a theoretical framework, based on contemporary philosophical aesthetics, from which principled assessments of the aesthetic value of information organization frameworks may be conducted.Design/methodology/approach – This paper identifies appropriate discourses within the field of philosophical aesthetics, constructs from them a framework for assessing aesthetic properties of information organization frameworks. This framework is then applied in two case studies examining the Library of Congress Subject Headings (LCSH), and Sexual Nomenclature: A Thesaurus. Findings – In both information organization frameworks studied, the aesthetic analysis was useful in identifying judgments of the frameworks as aesthetic judgments, in promoting discovery of further areas of aesthetic judgments, and in prompting reflection on the nature of these aesthetic judgments. Research limitations/implications – This study provides proof-of-concept for the aesthetic evaluation of information organization frameworks. Areas of future research are identified as the role of cultural relativism in such aesthetic evaluation and identification of appropriate aesthetic properties of information organization frameworks.Practical implications – By identifying a subset of judgments of information organization frameworks as aesthetic judgments, aesthetic evaluation of such frameworks can be made explicit and principled. Aesthetic judgments can be separated from questions of economic feasibility, functional requirements, and user-orientation. Design and maintenance of information organization frameworks can be based on these principles.Originality/value – This study introduces a new evaluative axis for information organization frameworks based on philosophical aesthetics. By improving the evaluation of such novel frameworks, design and maintenance can be guided by these principles.Keywords Evaluation, Analysis, Bibliographic systems, Indexes, Retrieval languages, Philosophy

Statistical learning of random probability measures

The study of random probability measures is a lively research topic that has attracted interest from different fields in recent years. In this thesis, we consider random probability measures in the context of Bayesian nonparametrics, where the law of a random probability measure is used as prior distribution, and in the context of distributional data analysis, where the goal is to perform inference given avsample from the law of a random probability measure. The contributions contained in this thesis can be subdivided according to three different topics: (i) the use of almost surely discrete repulsive random measures (i.e., whose support points are well separated) for Bayesian model-based clustering, (ii) the proposal of new laws for collections of random probability measures for Bayesian density estimation of partially exchangeable data subdivided into different groups, and (iii) the study of principal component analysis and regression models for probability distributions seen as elements of the 2-Wasserstein space. Specifically, for point (i) above we propose an efficient Markov chain Monte Carlo algorithm for posterior inference, which sidesteps the need of split-merge reversible jump moves typically associated with poor performance, we propose a model for clustering high-dimensional data by introducing a novel class of anisotropic determinantal point processes, and study the distributional properties of the repulsive measures, shedding light on important theoretical results which enable more principled prior elicitation and more efficient posterior simulation algorithms. For point (ii) above, we consider several models suitable for clustering homogeneous populations, inducing spatial dependence across groups of data, extracting the characteristic traits common to all the data-groups, and propose a novel vector autoregressive model to study of growth curves of Singaporean kids. Finally, for point (iii), we propose a novel class of projected statistical methods for distributional data analysis for measures on the real line and on the unit-circle.