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A contrastive account of explanation generation

Overview of attention for article published in Psychonomic Bulletin & Review, July 2017
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Title
A contrastive account of explanation generation
Published in
Psychonomic Bulletin & Review, July 2017
DOI 10.3758/s13423-017-1349-x
Pubmed ID
Authors

Seth Chin-Parker, Alexandra Bradner

Abstract

In this article, we propose a contrastive account of explanation generation. Though researchers have long wrestled with the concepts of explanation and understanding, as well as with the procedures by which we might evaluate explanations, less attention has been paid to the initial generation stages of explanation. Before an explainer can answer a question, he or she must come to some understanding of the explanandum-what the question is asking-and of the explanatory form and content called for by the context. Here candidate explanations are constructed to respond to the particular interpretation of the question, which, according to the pragmatic approach to explanation, is constrained by a contrast class-a set of related but nonoccurring alternatives to the topic that emerge from the surrounding context and the explainer's prior knowledge. In this article, we suggest that generating an explanation involves two operations: one that homes in on an interpretation of the question, and a second one that locates an answer. We review empirical work that supports this account, consider the implications of these contrastive processes, and identify areas for future study.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Professor 2 18%
Researcher 2 18%
Student > Master 2 18%
Professor > Associate Professor 1 9%
Other 0 0%
Readers by discipline Count As %
Psychology 5 45%
Philosophy 1 9%
Computer Science 1 9%
Linguistics 1 9%
Social Sciences 1 9%
Other 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2017.
All research outputs
#10,258,478
of 11,563,317 outputs
Outputs from Psychonomic Bulletin & Review
#1,407
of 1,507 outputs
Outputs of similar age
#224,223
of 265,371 outputs
Outputs of similar age from Psychonomic Bulletin & Review
#27
of 35 outputs
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