Modelling Theory Communities in Science

This position paper presents a framework for modelling theory communities where theories interact as agents in a conceptual network. It starts with introducing the difficulties in integrating scientific theories by discussing some recent approaches, especially of structuralist theory of science. Theories might differ in reference, extension, scope, objectives, functions, architecture, language etc. To address these potential integration barriers, the paper employs a broad definition of "scientific theory", where a theory is a more or less complex description a describer puts forward in a context called science with the aim of making sense of the world. This definition opens up the agency dimension of theories: theories "do" something. They work on a - however ontologically interpreted - subject matter. They describe something, and most of them claim that their descriptions of this "something" are superior to those of others. For modelling purposes, the paper makes use of such description behaviour of scientific theories on two levels. The first is the level where theories describe the world in their terms. The second is a sub-case of the first: theories can of course describe the description behaviour of other theories concerning this world and compare with own description behaviour. From here, interaction and potential cooperation between theories could be potentially identified by each theory perspective individually. Generating inclusive theory communities and simulating their dynamics using an agent-based model means to implement theories as agents; to create an environment where the agents work as autonomous entities in a self-constituted universe of discourse; to observe what they do with this environment (they will try to apply their concepts, and instantiate their mechanisms of sense-making); and to let them mutually describe and analyse their behaviour and suggest areas for interaction. Some mechanisms for compatibility testing are discussed and the prototype of the model with preliminary applications is introduced.Simulating Science, Theory Interaction, Agent-Based Modelling, Theory Network

Social Measurement and Causal Inference with Text

The digital age has dramatically increased access to large-scale collections of digitized text documents. These corpora include, for example, digital traces from social media, decades of archived news reports, and transcripts of spoken interactions in political, legal, and economic spheres. For social scientists, this new widespread data availability has potential for improved quantitative analysis of relationships between language use and human thought, actions, and societal structure. However, the large-scale nature of these collections means that traditional manual approaches to analyzing content are extremely costly and do not scale. Furthermore, incorporating unstructured text data into quantitative analysis is difficult due to texts’ high-dimensional nature and linguistic complexity. This thesis blends (a) the computational strengths of natural language processing (NLP) and machine learning to automate and scale-up quantitative text analysis with (b) two themes central to social scientific studies but often under-addressed in NLP: measurement—creating quantifiable summaries of empirical phenomena—and causal inference—estimating the effects of interventions. First, we address measuring class prevalence in document collections; we contribute a generative probabilistic modeling approach to prevalence estimation and show empirically that our model is more robust to shifts in class priors between training and inference. Second, we examine cross- document entity-event measurement; we contribute an empirical pipeline and a novel latent disjunction model to identify the names of civilians killed by police from our corpus of web-scraped news reports. Third, we gather and categorize applications that use text to reduce confounding from causal estimates and contribute a list of open problems as well as guidance about data processing and evaluation decisions in this area. Finally, we contribute a new causal research design to estimate the natural indirect and direct effects of social group signals (e.g. race or gender) on conversational outcomes with separate aspects of language as causal mediators; this chapter is motivated by a theoretical case study of U.S. Supreme Court oral arguments and the effect of an advocate’s gender on interruptions from justices. We conclude by discussing the relationship between measurement and causal inference with text and future work at this intersection

Open predicate path expressions for distributed environments: notation, implementation, and extensions

This dissertation introduces open predicate path expressions --a non-procedural, very-high-level language notation for the synchronization of concurrent accesses to shared data in distributed computer systems. The target environment is one in which resource modules (totally encapsulated instances of abstract data types) are the basic building blocks in a network of conventional, von Neumann computers or of functional, highly parallel machines. Each resource module will contain two independent submodules: a synchronization submodule which coordinates requests for access to the resource\u27s data and an access-mechanism submodule which localizes the code for operations on that data;Open predicate path expressions are proposed as a specification language for the synchronization submodule and represent a blend of two existing path notations: open path expressions and predicate path expressions. Motivations for the adoption of this new notation are presented, and an implementation semantics for the notation is presented in the form of dataflow graphs;An algorithm is presented which will automatically synthesize an open predicate path expression into a dataflow graph, which is then implemented by a network of communicating submodules written in either a sequential or an applicative language. Finally, an extended notation for the synchronization submodule is proposed, the purpose of which is to provide greater expressive power for certain synchronization problems which are difficult to specify using path expressions alone

Motivation and Technology for Quebec CEGEP ESL Classes

This paper focuses on English as a second language (ESL) learning by students at Quebec Collèges d’Enseignement General et Professionnel (CEGEPs). The research seeks to describe the positive outcome of computer assisted language learning (CALL) practices on the motivational level of students, their efficacy in helping students understand the cultural contexts of a second language, and their role in the achievement of proficiency in oral and written language skills. The main aim of the research is to investigate the role of new constructivist pedagogies and CALL practices in enhancing student motivation for continuous second language learning. Following qualitative case study methodology, the research consisted of a convenience sample of 41 students at a CEGEP in Quebec and used a survey and a focus group to obtain its data. The study found that students were generally motivated to learn English via CALL; however, there were also some shortcomings in this method of instruction. The findings of the research have implications for second language teachers and their students both in Canada and globally. In Canada, the amalgamation of diverse linguistic and migrant communities encourages citizens to be proficient not only in their native tongues, but also in the official languages of the nation—French and English. In the global context, information and communication are the main ingredients of trade, commerce and socialization

Cycling Through Grammar: On Compounds, Noun Phrases and Domains

In this dissertation, I address the question of domains within grammar: i.e. how domains are defined, whether different components of grammar make references to the same boundaries (or at least boundary definers), and whether these boundaries are uniform with respect to different processes. I address these questions in two case studies. First, I explore compound nouns in Icelandic and restrictions on their composition, where inflected non-head elements are structurally peripheral to uninflected ones. I argue that these effects are due to a matching condition which requires elements within compounds to match their attachment site in terms of size/type. Following that I explore how morphophonology is regulated by the structure of the compound. I argue for a contextual definition of the domain of morphophonology, where the highest functional morpheme in the extended projection of the root marks the boundary. Under this approach a morphophonological domain can contain smaller domains analogous to phases in syntax. This allows for the morphosyntactic structure to be mapped directly to phonology while giving the impression of two contradicting structures. I also explore the Icelandic noun phrase from this perspective. I take the structure of the noun to mirror the structure of the noun phrase and explore the placement of modifiers within the noun phrase and how different orders can be derived. I furthermore explore domains within the noun phrase through ellipsis and extraction. I argue that domains within the noun phrase are determined in the same way as domains within the noun, i.e. contextually, and appear to line up with the noun-internal domain definers