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Hierarchical classification as relational framing

Overview of attention for article published in Journal of the Experimental Analysis of Behavior, December 2013
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Title
Hierarchical classification as relational framing
Published in
Journal of the Experimental Analysis of Behavior, December 2013
DOI 10.1002/jeab.63
Pubmed ID
Authors

Brian Slattery, Ian Stewart

Abstract

The purpose of this study was to model hierarchical classification as contextually controlled, generalized relational responding or relational framing. In Experiment 1, a training procedure involving nonarbitrarily related multidimensional stimuli was used to establish two arbitrary shapes as contextual cues for 'member of' and 'includes' relational responding, respectively. Subsequently those cues were used to establish a network of arbitrary stimuli in particular hierarchical relations with each other, and then test for derivation of further untrained hierarchical relations as well as for transformation of functions. Resultant patterns of relational framing showed properties of transitive class containment, asymmetrical class containment, and unilateral property induction, consistent with conceptions of hierarchical classification as described within the cognitive developmental literature. Experiment 2 extended the basic model by using "fuzzy category" stimuli and providing a better controlled test of transformation of functions. Limitations and future research directions are discussed.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Italy 1 2%
Romania 1 2%
Brazil 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Other 6 11%
Student > Ph. D. Student 6 11%
Researcher 6 11%
Student > Doctoral Student 6 11%
Student > Bachelor 6 11%
Other 16 30%
Unknown 7 13%
Readers by discipline Count As %
Psychology 34 64%
Social Sciences 4 8%
Medicine and Dentistry 3 6%
Computer Science 2 4%
Arts and Humanities 1 2%
Other 1 2%
Unknown 8 15%
Attention Score in Context

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 06 December 2013.
All research outputs
#19,985,639
of 24,558,777 outputs
Outputs from Journal of the Experimental Analysis of Behavior
#663
of 1,003 outputs
Outputs of similar age
#243,106
of 317,973 outputs
Outputs of similar age from Journal of the Experimental Analysis of Behavior
#10
of 12 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,003 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.