The Good Behavior Game: A brief review

The Good Behavior Game (GBG) is a group contingency that reduces disruption and increases engagement in various contexts. In recent years, researchers have extended the GBG in at least 3 ways: (a) demonstrating its efficacy with novel populations, settings, and behaviors, (b) examining procedural variations that improve contextual fit, and (c) using more comprehensive data collection methods to explore the behavior of individual students and indirect effects. The purpose of the current review is to summarize recent advances, discuss implications of recent studies and potential mechanisms for the general efficacy of the GBG, and suggest future directions.     

The Good Behavior Game in preschool classrooms: An evaluation of feedback

The Good Behavior Game (GBG) is a popular group contingency implemented to decrease disruptive behavior in classrooms. However, despite numerous replications of the GBG, there are few direct comparisons evaluating the effectiveness of specific components of the GBG. In the present study, we directly compared the type of feedback delivered during the GBG on the effectiveness of the GBG to reduce disruptive behavior in two preschool classrooms. Results showed that delivering vocal feedback (e.g., “raise your hand”) alone or in combination with visual feedback (i.e., hatch marks) was superior to no feedback or visual feedback alone during the GBG. These results suggest that different variations of the GBG are not equally effective and that a collection of effective procedural variations from which teachers can choose would be beneficial.     

Comparison of components of the Good Behavior Game in a preschool classroom

The Good Behavior Game (GBG) is an effective intervention package for decreasing disruptive behavior in various populations and environments. There is, however, limited research evaluating the GBG with preschoolers. Furthermore, few studies have evaluated the effects of components of the GBG, and of those that have, most have done so only after exposure to the GBG package. We evaluated the effects (a) of the GBG on disruptive behavior of preschoolers during group instruction and (b) the major components of the GBG before and after implementation of the GBG package (c) at both the group and individual level. Results suggest that the GBG package was necessary for decreasing disruptive behavior. However, after exposure to the GBG, a response‐independent contingency was effective for maintaining low levels of disruptive behavior at both the group and individual level.     

Predication and cognitive context: Between minimalism and contextualism

In this paper, we suggest a strategy for modelling cognitive context within a truth‐conditional semantics, using Asher's model of predication. This allows us to introduce the notion of type presupposition intended as a lexical constraint to the composition of the truth‐conditional content. More specifically, we suggest that this model of predication produces a notion of truth‐conditional meaning where the cognitive context fixes a set of lexical restrictions and forced modifications. We conclude that this model might offer an intermediate position between Minimalism and Contextualism: an account that provides intuitive truth conditions within a formal semantic theory.     

A Logic is Referential iff it is Selfextensional

The title of this paper is a theorem, which I am going to state and prove. The theorem extends from prepositional to predicate languages the result I presented in [5].     

Extended Quantum Logic

The concept of quantum logic is extended so that it covers a more general set of propositions that involve non-trivial probabilities. This structure is shown to be embedded into a multi-modal framework, which has desirable logical properties such as an axiomatization, the finite model property and decidability.     

Neighborhoods for Entailment

This paper presents a neighborhood semantics for logics of entailment. It begins with a minimal system Min that expresses the most fundamental assumptions about the entailment relation, and continues by examining various extensions that reflect further assumptions that might be made about entailment. This leads first to the logic B that is the basic relevant logic, and then to more powerful systems. All of these logics are proved to be sound and strongly complete. With B the neighborhood semantics meets the Routley–Meyer relational semantics for relevant logic; these connections are examined. The minimal and basic entailment logics are shown to have the finite model property, and hence to be decidable.     

External details revisited – A new taxonomy for coding ‘non-episodic’ content during autobiographical memory retrieval

Autobiographical memory (ABM) is typically held to comprise episodic and semantic elements, with the vast majority of studies to date focusing on profiles of episodic details in health and disease. In this context, ‘non-episodic’ elements are often considered to reflect semantic processing or are discounted from analyses entirely. Mounting evidence suggests that rather than reflecting one unitary entity, semantic autobiographical information may contain discrete subcomponents, which vary in their relative degree of semantic or episodic content. This study aimed to (1) review the existing literature to formally characterize the variability in analysis of ‘non-episodic’ content (i.e., external details) on the Autobiographical Interview and (2) use these findings to create a theoretically grounded framework for coding external details. Our review exposed discrepancies in the reporting and interpretation of external details across studies, reinforcing the need for a new, consistent approach. We validated our new external details scoring protocol (the ‘NExt’ taxonomy) in patients with Alzheimer's disease (n = 18) and semantic dementia (n = 13), and 20 healthy older Control participants and compared profiles of the NExt subcategories across groups and time periods. Our results revealed increased sensitivity of the NExt taxonomy in discriminating between ABM profiles of patient groups, when compared to traditionally used internal and external detail metrics. Further, remote and recent autobiographical memories displayed distinct compositions of the NExt detail types. This study is the first to provide a fine-grained and comprehensive taxonomy to parse external details into intuitive subcategories and to validate this protocol in neurodegenerative disorders.     

Adjacent and Non-Adjacent Word Contexts Both Predict Age of Acquisition of English Words: A Distributional Corpus Analysis of Child-Directed Speech

Children show a remarkable degree of consistency in learning some words earlier than others. What patterns of word usage predict variations among words in age of acquisition? We use distributional analysis of a naturalistic corpus of child-directed speech to create quantitative features representing natural variability in word contexts. We evaluate two sets of features: One set is generated from the distribution of words into frames defined by the two adjacent words. These features primarily encode syntactic aspects of word usage. The other set is generated from non-adjacent co-occurrences between words. These features encode complementary thematic aspects of word usage. Regression models using these distributional features to predict age of acquisition of 656 early-acquired English words indicate that both types of features improve predictions over simpler models based on frequency and appearance in salient or simple utterance contexts. Syntactic features were stronger predictors of children's production than comprehension, whereas thematic features were stronger predictors of comprehension. Overall, earlier acquisition was predicted by features representing frames that select for nouns and verbs, and by thematic content related to food and face-to-face play topics; later acquisition was predicted by features representing frames that select for pronouns and question words, and by content related to narratives and object play.