The lexical fallacy in emotion research: Mistaking vernacular words for psychological entities.

Vernacular lexemes appear self-evident, so we unwittingly reify them. But the words and phrases of natural languages comprise a treacherous basis for identifying valid psychological constructs, as I illustrate in emotion research. Like other vernacular lexemes, the emotion labels in natural languages do not have definite, stable, mutually transparent meanings, and any one vernacular word may be used to denote multiple scientifically distinct entities. In addition, the consequential choice of one lexeme to name a scientific construct rather than any of its partial synonyms is often arbitrary. Furthermore, a given vernacular lexeme from any one of the world's 7000 languages rarely maps one-to-one into an exactly corresponding vernacular lexeme in other languages. Words related to anger in different languages illustrate this. Since each language constitutes a distinct taxonomy of things in the world, most or all languages must fail to cut nature at its joints. In short, it is pernicious to use one language's dictionary as the source of psychological constructs. So scientists need to coin new technical names for scientifically derived constructs-names precisely defined in terms of the constellation of features or components that characterize the constructs they denote. The development of the kama muta construct illustrates one way to go about this. Kama muta is the emotion evoked by sudden intensification of communal sharing-universally experienced but not isomorphic with any vernacular lexeme such as heart warming, moving, touching, collective pride, tender, nostalgic, sentimental, Awww-so cute!. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

A functional-cognitive framework for attitude research

In attitude research, behaviours are often used as proxies for attitudes and attitudinal processes. This practice is problematic because it conflates the behaviours that need to be explained (explanandum) with the mental constructs that are used to explain these behaviours (explanans). In the current chapter we propose a meta-theoretical framework that resolves this problem by distinguishing between two levels of analysis. According to the proposed framework, attitude research can be conceptualised as the scientific study of evaluation. Evaluation is defined not in terms of mental constructs but in terms of elements in the environment, more specifically, as the effect of stimuli on evaluative responses. From this perspective, attitude research provides answers to two questions: (1) Which elements in the environment moderate evaluation? (2) What mental processes and representations mediate evaluation? Research on the first question provides explanations of evaluative responses in terms of elements in the environment (functional level of analysis); research on the second question offers explanations of evaluation in terms of mental processes and representations (cognitive level of analysis). These two levels of analysis are mutually supportive, in that better explanations at one level lead to better explanations at the other level. However, their mutually supportive relation requires a clear distinction between the concepts of their explanans and explanandum, which are conflated if behaviours are treated as proxies for mental constructs. The value of this functional-cognitive framework is illustrated by applying it to four central questions of attitude research

Conceptual Metaphors: a review with implications for human understandings and systems practice

We provide an overview of metaphor theory and explore implications for systems practice by building on claims that metaphors are central to our ways of understanding. As stakeholders will have different understandings, each metaphor will reveal and conceal different aspects of their understandings. These differences need to be accommodated within systems practice. Our contribution in this paper is to show how metaphors can explain, appreciate and create different understandings. Further, new understandings can emerge from considering different metaphors

Models of Urban Governance and Planning in Latin America and the United States: Associationism, Regime Theory, and Communicative Action

In many American and Latin American cities alike, urban governance and planning are either in urgent need of reform or are currently undergoing haphazard reform. In many cases, innovative attempts to implement reforms have failed because the inability of cities to develop their 'civic capacity' -- the capacity to build and maintain broad social and political multi-sectoral coalitions in pursuit of common goals. This article argues that these significant points of convergence are productive building blocks for the construction of more generalizable models of urban governance and planning in democratic cities in the Americas and beyond. It situates coalition and network politics at the center of urban planning and governance reform, suggesting that associationism and regime theory can be instrumental at analyzing the status of civic capacity of urban communities. Furthermore, this article claims that the points of convergence between these models of governance may achieve a more powerful synergy and productive status as tools for both analysis and action through their synthesis in, and reinforcement of, the notion of communicative action in urban planning theory and practice

Dramaturgy in Archival Research: A Frame Analysis of Disciplinary Reconstruction in Sociology

Research in the history of sociology has with few exceptions depended primarily on interviews, reminiscences, and information gleaned from published sources rather than upon archival data such as unpublished correspondence, manuscripts, diaries, and memos. Recently, however, Mary Jo Deegan (1988) and others have demonstrated the power of archival data for rehabilitating the history of American sociology. Archival research is not without its own set of pitfalls and problems, but archival data can at times provide needed corrections to the skewed and often self-serving historical images portrayed in many of the standard published accounts of our disciplinary history

Dramaturgy in Archival Research: A Frame Analysis of Disciplinary Reconstruction in Sociology

Research in the history of sociology has with few exceptions depended primarily on interviews, reminiscences, and information gleaned from published sources rather than upon archival data such as unpublished correspondence, manuscripts, diaries, and memos. Recently, however, Mary Jo Deegan (1988) and others have demonstrated the power of archival data for rehabilitating the history of American sociology. Archival research is not without its own set of pitfalls and problems, but archival data can at times provide needed corrections to the skewed and often self-serving historical images portrayed in many of the standard published accounts of our disciplinary history

A reusable iterative optimization software library to solve combinatorial problems with approximate reasoning

Real world combinatorial optimization problems such as scheduling are typically too complex to solve with exact methods. Additionally, the problems often have to observe vaguely specified constraints of different importance, the available data may be uncertain, and compromises between antagonistic criteria may be necessary. We present a combination of approximate reasoning based constraints and iterative optimization based heuristics that help to model and solve such problems in a framework of C++ software libraries called StarFLIP++. While initially developed to schedule continuous caster units in steel plants, we present in this paper results from reusing the library components in a shift scheduling system for the workforce of an industrial production plant.Comment: 33 pages, 9 figures; for a project overview see http://www.dbai.tuwien.ac.at/proj/StarFLIP

Semantic knowledge integration for learning from semantically imprecise data

Low availability of labeled training data often poses a fundamental limit to the accuracy of computer vision applications using machine learning methods. While these methods are improved continuously, e.g., through better neural network architectures, there cannot be a single methodical change that increases the accuracy on all possible tasks. This statement, known as the no free lunch theorem, suggests that we should consider aspects of machine learning other than learning algorithms for opportunities to escape the limits set by the available training data. In this thesis, we focus on two main aspects, namely the nature of the training data, where we introduce structure into the label set using concept hierarchies, and the learning paradigm, which we change in accordance with requirements of real-world applications as opposed to more academic setups.Concept hierarchies represent semantic relations, which are sets of statements such as "a bird is an animal." We propose a hierarchical classifier to integrate this domain knowledge in a pre-existing task, thereby increasing the information the classifier has access to. While the hierarchy's leaf nodes correspond to the original set of classes, the inner nodes are "new" concepts that do not exist in the original training data. However, we pose that such "imprecise" labels are valuable and should occur naturally, e.g., as an annotator's way of expressing their uncertainty. Furthermore, the increased number of concepts leads to more possible search terms when assembling a web-crawled dataset or using an image search. We propose CHILLAX, a method that learns from semantically imprecise training data, while still offering precise predictions to integrate seamlessly into a pre-existing application

Completeness and properness of refinement operators in inductive logic programming

AbstractWithin Inductive Logic Programming, refinement operators compute a set of specializations or generalizations of a clause. They are applied in model inference algorithms to search in a quasi-ordered set for clauses of a logical theory that consistently describes an unknown concept. Ideally, a refinement operator is locally finite, complete, and proper. In this article we show that if an element in a quasi-ordered set 〈S, ≥〉 has an infinite or incomplete cover set, then an ideal refinement operator for 〈S, ≥〉 does not exist. We translate the nonexistence conditions to a specific kind of infinite ascending and descending chains and show that these chains exist in unrestricted sets of clauses that are ordered by θ-subsumption. Next we discuss how the restriction to a finite ordered subset can enable the construction of ideal refinement operators. Finally, we define an ideal refinement operator for restricted θ-subsumption ordered sets of clauses

Assets and domestic units: methodological challenges for longitudinal studies of poverty dynamics

Tracking change in assets access and ownership in longitudinal research is difficult. Assets are rarely assigned to individuals. Their benefit and management are spread across domestic units which morph over time. We review the challenges of using assets to understand poverty dynamics, and tracking the domestic units that own and manage assets. Using case studies from longitudinal research we demonstrate that assets can afford useful insights into important change