Students’ images of two-variable functions and their graphs

This paper presents a conceptual analysis for students’ images of graphs and their extension to graphs of two-variable functions. We use the conceptual analysis, based on quantitative and covariational reasoning, to construct a hypothetical learning trajectory (HLT) for how students might generalize their understanding of graphs of one-variable functions to graphs of two-variable functions. To evaluate the viability of this learning trajectory, we use data from two teaching experiments based on tasks intended to support development of the schemes in the HLT. We focus on the schemes that two students developed in these teaching experiments and discuss their relationship to the original HLT. We close by considering the role of covariational reasoning in generalization, consider other ways in which students might come to conceptualize graphs of two-variable functions, and discuss implications for instruction.     

Starting up the News: The Impact of Venture Capital on the Digital News Media Ecosystem

ABSTRACT

Venture capital funding is an increasingly common yet understudied management model in the rapidly changing market of news media. Drawing on scholarship in media management and entrepreneurship, this study applies a community ecology framework to analyze the relationship between venture capital funding and digital news media firms. In doing so, this work explores the interaction between legacy news media firms and new entrants as they struggle for scarce resources and seek to grow in the face of rapid change. A dataset tracking funding activity of legacy and startup news media firms is used to analyze resource allocation within the digital news media ecosystem. Results of the analyses provide insights for news media management by furthering understanding regarding venture capital funding models and the generative mechanisms that help drive growth. Specifically, findings highlight the importance of cross-sector engagement and the tension between firm age and position for growth in the digital news media ecosystem.     

The Relationships between Driver Anger and Aggressive Communication Traits

The purpose of this study was to examine the relationships between college students’ level of driver anger and their aggressive communication traits. Driving anger is an individual's tendency to become angry while driving. In 1994 the driving anger scale (DAS) identified six dimensions of driver anger: hostile gestures, illegal driving, police presence, slow driving, discourtesy, and traffic obstructions. Results of Pearson correlations show that police presence, slow driving, discourteous driving, and traffic obstructions were positively related to all of the aggressive communication traits. “Hostile gestures” was related to assertiveness. Illegal driving was related to indirect verbal aggression and assertiveness.     

Relational messages associated with nonverbal involvement,pleasantness, and expressiveness in romantic couples

Previous research suggests that individual nonverbal cues and cue complexes communicate multiple relational messages simultaneously. This work examines the contention that nonverbal percepts may predict relational message interpretations in romantic relationships. Results provide support for the hypothesis that nonverbal cues indicative of greater involvement, pleasantness, and expressiveness connote messages of intimacy. Specifically, the current study reveals that perceptions of intimacy and composure are associated with greater vocalic involvement. Interpretations are provided in line with the social meanings model.     

Repeated Exposure to Daytime Soap Opera and Shifts in Moral Judgment Toward Social Convention

This study examined the influence of prolonged exposure to soap opera on character dispositions and real-world moral judgments. Eight groups viewed from 0–7 weeks of soap opera prior to a final week after which participants completed measures of disposition towards show characters as well as perceptions of morality in real-world situations. Results demonstrated the effect of prolonged exposure on both the polarization of dispositions toward characters and a trend in moral judgments toward social convention. These findings highlight the role of disposition within social cognitive theory, and the importance of dispositional considerations in understanding learned morality.     

The Spiral of Violence: Equity of Violent Reprisal in Professional Wrestling and its Dispositional and Motivational Features

Though lacking empirical evidence, professional wrestling has been criticized for portraying excessive violence in harmful contexts. This study focused on the equity of violent reprisal perpetrated by liked versus disliked protagonists with socially sanctioned or unsanctioned motives. Results of a quantitative content analysis show that most violent interaction sequences were over-retributive. Violence that was not part of match competition was routinely initiated for normatively unsanctioned motives and showed predominant patterns of escalating violent retribution. These patterns held across perpetrator disposition. Thus, liked characters regularly aggressed for normatively unacceptable reasons. The consequences of these portrayals are discussed.     

Metadata as a machine for feeling in Germaine Greer’s archive

ABSTRACT

What happens when a human coder meets a machine one? This article explores this question with reference to the archive of Professor Germaine Greer: Australian-born feminist, performer, scholar, and professional controversialist. It does so by staging two very different data encounters with the 70,000-word finding aid for the print journalism series, a key component of Greer’s archive. The first encounter is archivist’s creation of the finding aid; the second, archivist and literary scholar’s interpretation of this archival metadata using sentiment analysis. Interrogating these activities side-by-side opens up a productive middle ground between humanities scholars and computer technicians, between historians and archivists, between the hand made and the machine made.

This article argues that sentiment analysis offers a new and highly productive method of interrogating archival metadata, and that, as a method which privileges emotive understandings of content, it is particularly appropriate to the study of feminist archives like Greer’s. It also argues that these kinds of detailed finding aids are new datasets that reward analysis in their own right, and particularly when considered in dialogue with—rather than simply used as straightforward navigational tools for—the ‘original’ archival content.