Abstract As technology (particularly smartphone and computer technology) has advanced, sociolinguistic methodology has likewise adapted to include remote data collection. Remote methods range from approximating the traditional sociolinguistic interview via synchronous video conferencing to developing new methods for asynchronous self‐recording (Boyd et al., 2015; Leeman et al., 2020). In this paper, we take a close look at the question prompts sent to participants in an asynchronous, remote self‐recording project (“MI Diaries”). We discuss how some of the techniques initially developed for obtaining a range of styles in a traditional in‐person sociolinguistic interview can be fruitfully adapted to a remote context. Of this range of styles, we give particular focus toNarratives of Personal Experience(Labov & Waletzky, 1967), and provide an analysis of how the theme, style, and development of prompts can encourage narratives from participants. We end with a short discussion of prompts that have successfully elicited other speech styles, and prompts that are especially fruitful with child participants.
more »
« less
Theoretical and empirical perspectives on objectivity: Transforming a historical account into an investigative tool
This paper introduces new empirical methods into the philosophy of science as part of broader naturalization efforts which have been championed by some members of the philosophical community. In the beginning, we defend this approach and present the main reasons why new methods such as empirical conceptual analysis with advanced statistical analysis should be adopted and further developed. Next, we proceed to practical examples of how such empirical analysis can be applied to the concept of objectivity and its current understanding by working scientists, and also to the historical-philosophical notion of Crombie’s styles of scientific thinking and Hacking’s styles of styles of reasoning. In conclusion, we assess the utility and limitations of this new approach, particularly the potential of these qualitative and quantitative methods to produce exact and transparent images of a concept’s use in lay or professional target groups.
more »
« less
- Award ID(s):
- 1921821
- PAR ID:
- 10309302
- Editor(s):
- Schickore, Jutta
- Date Published:
- Journal Name:
- Integrated HPS Conference Proceedings
- Volume:
- 1
- Issue:
- 1
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
ABSTRACT Social norms – rules governing which behaviours are deemed appropriate or inappropriate within a given community – are typically taken to be uniquely human. Recently, this position has been challenged by a number of philosophers, cognitive scientists, and ethologists, who have suggested that social norms may also be found in certain non‐human animal communities. Such claims have elicited considerable scepticism from norm cognition researchers, who doubt that any non‐human animals possess the psychological capacities necessary for normative cognition. However, there is little agreement among these researchers about what these psychological prerequisites are. This makes empirical study of animal social norms difficult, since it is not clear what we are looking for and thus what should count as behavioural evidence for the presence (or absence) of social norms in animals. To break this impasse, we offer an approach that moves beyond contested psychological criteria for social norms. This approach is inspired by the animal culture research program, which has made a similar shift away from heavily psychological definitions of ‘culture’ to become organised around a cluster of more empirically tractable concepts of culture. Here, we propose an analogous set of constructs built around the core notion of anormative regularity, which we define asa socially maintained pattern of behavioural conformity within a community. We suggest methods for studying potential normative regularities in wild and captive primates. We also discuss the broader scientific and philosophical implications of this research program with respect to questions of human uniqueness, animal welfare and conservation.more » « less
-
null (Ed.)In this paper we provide a proof of principle of a new method for addressing the ethics of autonomous vehicles (AVs), the Data-Theories Method, in which vehicle crash data is combined with philosophical ethical theory to provide a guide to action for AV algorithm design. We use this method to model three scenarios in which an AV is exposed to risk on the road, and determine possible actions for the AV. We then examine how different philosophical perspectives on agent partiality, or the degree to which one can act in one’s own self-interest, might address each scenario. This method shows why modelling the ethics of AVs using data is essential. First, AVs may sometimes have options that human drivers do not, and designing AVs to mimic the most ethical human driver would not ensure that they do the right thing. Second, while ethical theories can often disagree about what should be done, disagreement can be reduced and compromises found with a more complete understanding of the AV’s choices and their consequences. Finally, framing problems around thought experiments may elicit preferences that are divergent with what individuals might prefer once they are provided with information about the real risks for a scenario. Our method provides a principled and empirical approach to productively address these problems and offers guidance on AV algorithm design.more » « less
-
This paper presents new methods for analyzing and evaluating generalized plans that can solve broad classes of related planning problems. Although synthesis and learning of generalized plans has been a longstanding goal in AI, it remains challenging due to fundamental gaps in methods for analyzing the scope and utility of a given generalized plan. This paper addresses these gaps by developing a new conceptual framework along with proof techniques and algorithmic processes for assessing termination and goal-reachability related properties of generalized plans. We build upon classic results from graph theory to decompose generalized plans into smaller components that are then used to derive hierarchical termination arguments. These methods can be used to determine the utility of a given generalized plan, as well as to guide the synthesis and learning processes for generalized plans. We present theoretical as well as empirical results illustrating the scope of this new approach. Our analysis shows that this approach significantly extends the class of generalized plans that can be assessed automatically, thereby reducing barriers in the synthesis and learning of reliable generalized plans.more » « less
-
The lack of large-scale, continuously evolving empirical data usually limits the study of networks to the analysis of snapshots in time. This approach has been used for verification of network evolution mechanisms, such as preferential attachment. However, these studies are mostly restricted to the analysis of the first links established by a new node in the network and typically ignore connections made after each node’s initial introduction. Here, we show that the subsequent actions of individuals, such as their second network link, are not random and can be decoupled from the mechanism behind the first network link. We show that this feature has strong influence on the network topology. Moreover, snapshots in time can now provide information on the mechanism used to establish the second connection. We interpret these empirical results by introducing the “propinquity model,” in which we control and vary the distance of the second link established by a new node and find that this can lead to networks with tunable density scaling, as found in real networks. Our work shows that sociologically meaningful mechanisms are influencing network evolution and provides indications of the importance of measuring the distance between successive connections.more » « less