The English past tense contains pockets of variation, where regular and irregular forms compete (e.g. learned/learnt, weaved/wove). Individuals vary considerably in the degree to which they prefer irregular forms. This article examines the degree to which individuals may converge on their regularization patterns and preferences. We report on a novel experimental methodology, using a cooperative game involving nonce verbs. Analysis of participants' postgame responses indicates that their behavior shifted in response to an automated co-player's preferences, on two dimensions. First, players regularize more after playing with peers with high regularization rates, and less after playing with peers with low regularization rates. Second, players' overall patterns of regularization are also affected by the particular distribution of (ir)regular forms produced by the peer.

We model the effects of the exposure on participants' morphological preferences, using both a rule-based model and an instance-based analogical model (Nosofsky 1988, Albright & Hayes 2003). Both models contribute separately and significantly to explaining participants' pre-exposure regularization processes. However, only the instance-based model captures the shift in preferences that arises after exposure to the peer. We argue that the results suggest an account of morphological convergence in which new word forms are stored in memory, and on-line generalizations are formed over these instances.

Increasing societal heterogeneity, changing demographics, and increasing public debt and fiscal constraints have recently challenged traditional “regime” approaches to welfare state development. Some scholars argue, against this background, that welfare states might plausibly move out of their “regime container” by opting in favor of similar solutions and responses. This potential trend toward “convergence” might, furthermore, be facilitated by the widespread use of new public management ideas and techniques for “reinventing government” by adopting market solutions to public problems. This article investigates whether such trends of convergence can be identified by comparing three different countries each traditionally looked upon as belonging to different welfare state regimes: Denmark, Germany, and the United States. More specifically the article looks at one important segment of welfare state activity, namely social services and related health care. To further focus the analysis, special attention is devoted to the changing role played by the third sector in delivering services. The research design, thus, differs from most comparative welfare state research. Instead of analyzing a broad set of quantitative indicators in a large number of countries, it is scrutinized how some of the same problem pressures and policy ideas are being interpreted and implemented in a small number of countries within one policy area. The analysis reveals that trends of convergence—conceptualized along four dimensions: ideas, regulation, mix of providers, and revenue mix—can be identified across the three cases, though this does not mean that the market share of nonprofit providers becomes the same. The study also reveals that fundamental aspects of state–nonprofit relations persist despite trends of convergence.

This article examines the role of sociolinguistic expectations in linguistic convergence, using glide-weakened /aɪ/—a salient feature of Southern US English—as a test case. I present the results of two experiments utilizing a novel experimental paradigm for eliciting convergence—the WORD-NAMING GAME task—in which participants read aloud (baseline) or hear (exposure) clues describing particular words and then give their guesses out loud. Participants converged toward a Southern-shifted model talker by producing more glide-weakened tokens of /aɪ/, without ever hearing the model talker produce this vowel. Participants in the control (Midland talker) condition exhibited no such response. Convergence was facilitated by both living in the South and producing less-weakened baseline /aɪ/ glides, but attitudinal and domain-general individual-differences measures did not reliably predict convergence behaviors. Results are discussed in terms of implications for the cognitive mechanisms underlying convergence behaviors and the mental representations of sociolinguistic knowledge.

This article focuses on the role of congruence in Creole formation and development, using a competition-and-selection framework. The proposal is that the similarities (the congruent features) that speakers perceive between the languages in contact are favored to participate in the emergence and development of a new language. Specifically, I illustrate how morphosyntactic and semantic features are more likely to be selected into the grammatical makeup of a given Creole when they PREEXIST and are shared by some of the source languages present in its linguistic ecology. This is empirically supported in this article by numerous case studies and a survey of congruent features in twenty contact languages across nineteen grammatical and lexical domains. In order to show how congruence operates, I propose a model of matter and pattern mapping, adapted to the multilingual setting in which Creole languages emerge.

This study investigated the question of how civil society groups cross political, cultural, social, economic, and language boundaries to find common ground and to act collectively in coalitions to effect international change. A set of constituents emerged in answer to the research question; Complementarity, Speed and Democracy, Rules of Engagement, Contingent Alliance, and Convergence. Convergence emerged as a central and unifying construct. Convergence is the uniting of people who are different, or even opposed, around a common cause. It is based on the presumption that diversity is critical to coalition success and that it needs be employed to leverage its many potential benefits. The analyses led to the conceptualization of the Convergence System, a model that employs global civil society (GCS) diversity to discern complementarity within GCS coalitions, to discover Points of Convergence, and to facilitate collective action toward shared objectives, thus enabling efficacious action by GCS within the international polity.

As the use of computational text analysis in the social sciences has increased, topic modeling has emerged as a popular method for identifying latent themes in textual data. Nevertheless, concerns have been raised regarding the validity of the results produced by this method, given that it is largely automated and inductive in nature, and the lack of clear guidelines for validating topic models has been identified by scholars as an area of concern. In response, we conducted a comprehensive systematic review of 789 studies that employ topic modeling. Our goal is to investigate whether the field is moving toward a common framework for validating these models. The findings of our review indicate a notable absence of standardized validation practices and a lack of convergence toward specific methods of validation. This gap may be attributed to the inherent incompatibility between the inductive, qualitative approach of topic modeling and the deductive, quantitative tradition that favors standardized validation. To address this, we advocate for incorporating qualitative validation approaches, emphasizing transparency and detailed reporting to improve the credibility of findings in computational social science research when using topic modeling.

Italy has often been implicitly or explicitly excluded from comparative political analyses due to its allegedly anomalous political arrangements and outcomes, but in more recent years, some of its once unusual experiences have come to seem as predictors of things to come in other countries. This contribution takes a closer look at such developments, starting with a consideration of the substantive differences between outliers and anomalies. It then presents and gives examples of four scenarios whereby changes might – or might not – have led Italy to converge with its neighbors. In sum, this essay contends that rather than viewing Italy as sui generis, it is fruitful to consider Italy and Italian politics as a kind of laboratory that not only incorporates all the basic elements of political dynamics but in which many relevant tendencies of current and prospective political and policy dynamics can be discerned.

This study aims to formulate a highly accurate numerical method, specifically a seventh-order Hermite technique with an error term of sixth order, to solve the Fisher and Burgers–Fisher equations. This technique employs a combination of orthogonal collocation on the finite element method and hepta Hermite basis functions. By ensuring continuity of the dependent variable and its first three derivatives across the entire solution domain, it achieves a remarkable level of accuracy and smoothness. The space discretization is handled through the application of hepta Hermite polynomials, while the time discretization is managed by the Crank–Nicholson scheme. The stability and convergence analysis of the scheme are discussed in detail. To validate the accuracy of the proposed technique, three examples are taken. The results obtained from these examples are thoroughly analysed and compared against the exact solutions and reliable data from the existing literature. It is established that the proposed technique is easy to implement and gives better results as compared with existing ones.