The Guise of the Bad in Augustine’s Pear Theft

In the second book of his Confessions, Augustine of Hippo presents his famous juvenile Pear Theft as an apparent case of acting under the guise of the bad. At least since Thomas Aquinas’ influential interpretation, scholars have usually taken Augustine’s detailed discussion of the case to be dispelling this “guise of the guise of the bad”, and to offer a solid “guise of the good”-explanation. This paper addresses an important challenge to this view: Augustine offers two different “guise of the good”-explanations in his text rather than just one, and the two explanations seem to be mutually exclusive. A number of more recent attempts to reconcile Augustine’s two lines of explanation are discussed and found wanting, and a new suggestion is made. The proposed solution focuses on the Pear Theft as a joint action, and it departs from the Aquinian interpretation in that it accounts for a way in which the “guise of the bad”-hypothesis survives the explanation.     

Positive Mental Health as a Predictor of Problematic Internet and Facebook Use in Adolescents and Young Adults

Recent research on Problematic Internet Use and Problematic Facebook Use (PIU and PFU) has focused on the idea that people who engage in PIU or PFU are more likely to present with mental health problems. The goal of the present study was to examine the contribution of positive mental health (PMH) to PIU and PFU among adolescents and young adults. A total of 1927 Italian adolescents and young adults participated in the study. Structural equation modeling showed that PMH is negatively linked to both PIU and PFU, indicating that PMH may be an important antecedent for both PIU and PFU among adolescents and young adults. In conclusion, dimensions of PMH may be taken into account by researchers and educational practitioners in preventing both PIU and PFU.     

Did They Earn It? Observing Unearned Luxury Consumption Decreases Brand Attitude When Observers Value Fairness

People frequently observe others’ consumption, making inferences about both the consumer and the consumed brands. Although these observations are often beneficial for brands, this research demonstrates that observing luxury brand consumers whose consumption arose from unearned (vs. earned) financial resources reduces observers’ brand attitudes when observers place a high value on fairness. When fairness values are high, observers do not perceive luxury brand consumers who use unearned (vs. earned) consumption resources as prestigious, and in turn, lower prestige perceptions adversely affect observers’ brand evaluations for luxury brands. Consistent with our theorizing regarding the signaling of prestige, the joint effect of consumers’ consumption resources and observers’ fairness values on observers’ brand attitudes does not hold for nonluxury brands, which are not associated with prestige and thereby are not denigrated when the consumer is not perceived as prestigious. This research sheds light on the role of moral values in marketplace judgments of luxury consumption and brand attitude by considering the influence of consumption resources on observers’ judgments.     

Combinatorial Bitstring Semantics for Arbitrary Logical Fragments

Logical geometry systematically studies Aristotelian diagrams, such as the classical square of oppositions and its extensions. These investigations rely heavily on the use of bitstrings, which are compact combinatorial representations of formulas that allow us to quickly determine their Aristotelian relations. However, because of their general nature, bitstrings can be applied to a wide variety of topics in philosophical logic beyond those of logical geometry. Hence, the main aim of this paper is to present a systematic technique for assigning bitstrings to arbitrary finite fragments of formulas in arbitrary logical systems, and to study the logical and combinatorial properties of this technique. It is based on the partition of logical space that is induced by a given fragment, and sheds new light on a number of interesting issues, such as the logic-dependence of the Aristotelian relations and the subtle interplay between the Aristotelian and Boolean structure of logical fragments. Finally, the bitstring technique also allows us to systematically analyze fragments from contemporary logical systems, such as public announcement logic, which could not be done before.     

A psychoanalytically informed hospitalization‐based treatment of personality disorders

This study presents a model of psychic change in personality disorders focusing on three dimensions: felt safety, mentalization and self‐object relations. Based upon this model a hospitalization‐based therapy program was created. Four scales to measure these three dimensions on the Object Relation Interview are discussed: the Felt Safety Scale, the Reflective Functioning Scale and the Bion Grid Scale and the Differentiation‐Relatedness Scale. A naturalistic symptom outcome study of the program showed a large effect on both symptoms and personality functioning. Furthermore, trajectory based on pre‐treatment patient characteristics (i.e., anaclitic versus introjective personality styles). Importantly, we also found a relation between symptomatic and personality change and change in felt safety and object relations. At 5‐year follow‐up, patients showed sustained improvement in symptomatic distress and further improvement in terms of personality and interpersonal functioning.     

A general proof of consistency of heuristic classification for cognitive diagnosis models

The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633–665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is guaranteed when non‐parametric classification methods are used. These conditions have only been proven for the Deterministic Input Noisy Output AND gate model. For other cognitive diagnosis models, no theoretical legitimization exists for using non‐parametric classification techniques for assigning examinees to proficiency classes. The specific statistical properties of different cognitive diagnosis models require tailored proofs of the conditions of the Asymptotic Classification Theory of Cognitive Diagnosis for each individual model – a tedious undertaking in light of the numerous models presented in the literature. In this paper a different way is presented to address this task. The unified mathematical framework of general cognitive diagnosis models is used as a theoretical basis for a general proof that under mild regularity conditions any cognitive diagnosis model is covered by the Asymptotic Classification Theory of Cognitive Diagnosis.