Duplex theory and human localization of 1000-Hz tones

2019 ◽  
Vol 146 (4) ◽  
pp. 3046-3046
Author(s):  
William M. Hartmann ◽  
Brad Rakerd ◽  
Aimee Shore ◽  
Jordan Kassis
Keyword(s):  
Duplex Theory

The Scientific Work We Love: A Duplex Theory of Scientific Impact and Its Application to the Top-Cited Articles in the First 30 Years of APS Journals

2018 ◽  
Vol 13 (2) ◽  
pp. 260-267 ◽  
Author(s):  
Robert J. Sternberg
Keyword(s):  
Scientific Work ◽  
High Impact ◽  
Data Driven ◽  
Scientific Impact ◽  
Psychological Science ◽  
Review Articles ◽  
Triangular Elements ◽  
Duplex Theory

This article proposes a duplex theory for understanding the scientific impact of contributions to psychological science. I argue that articles that we “love” can be understood in terms of (a) triangular elements of intimacy, passion, and commitment and (b) types of stories that characterize high-impact articles. Certain kinds of stories (e.g., review articles) are more likely to have lasting impact, on average, than other kinds of stories (e.g., data-driven empirical articles).

The duplex theory of thickness discriminations by touch

2002 ◽  
Vol 2002.1 (0) ◽  
pp. 231-232 ◽  
Author(s):  
Tetsu MIYAOKA ◽  
Masahiro OHKA
Keyword(s):  
Duplex Theory

scholarly journals Building and Annotating a Codeswitched Hate Speech Corpora

2021 ◽  
Vol 13 (3) ◽  
pp. 33-52
Author(s):  
Edward Ombui ◽  
◽  
Lawrence Muchemi ◽  
Peter Wagacha
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Hate Speech ◽  
Empirical Studies ◽  
Presidential Campaign ◽  
Supervised Machine Learning ◽  
Annotation Scheme ◽  
Speech Corpora ◽  
Duplex Theory ◽  
Speech Identification

Presidential campaign periods are a major trigger event for hate speech on social media in almost every country. A systematic review of previous studies indicates inadequate publicly available annotated datasets and hardly any evidence of theoretical underpinning for the annotation schemes used for hate speech identification. This situation stifles the development of empirically useful data for research, especially in supervised machine learning. This paper describes the methodology that was used to develop a multidimensional hate speech framework based on the duplex theory of hate [1] components that include distance, passion, commitment to hate, and hate as a story. Subsequently, an annotation scheme based on the framework was used to annotate a random sample of ~51k tweets from ~400k tweets that were collected during the August and October 2017 presidential campaign period in Kenya. This resulted in a goldstandard codeswitched dataset that could be used for comparative and empirical studies in supervised machine learning. The resulting classifiers trained on this dataset could be used to provide real-time monitoring of hate speech spikes on social media and inform data-driven decision-making by relevant security agencies in government.

The duplex theory re-revisited: Spectral weighting of localization cues in tones and noises

2019 ◽  
Vol 145 (3) ◽  
pp. 1720-1720
Author(s):  
G. Christopher Stecker ◽  
Monica L. Folkerts ◽  
Julie M. Stecker
Keyword(s):  
Duplex Theory ◽  
Spectral Weighting

scholarly journals A Duplex Theory of Pitch Perception

1951 ◽  
Vol 23 (1) ◽  
pp. 147-147 ◽  
Author(s):  
J. C. R. Licklider
Keyword(s):  
Pitch Perception ◽  
Duplex Theory
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