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Cited by 442

The DOI matches its OpenAlex record; 3 of the 3 references it cites were found in a registry or an index.

Reading Abraham Lincoln: An Expert/Expert Study in the Interpretation of Historical Texts

Open access
Sam Wineburg·1998·Cognitive Science

Abstract

This study explored how historians with different background knowledge read a series of primary source documents. Two university-based historians thought aloud as they read documents about Abraham Lincoln and the question of slavery, with the broad goal of understanding Lincoln's views on race. The first historian brought detailed content knowledge to the documents; the second historian was familiar with some of the themes in the documents but quickly became confused in the details. After much cognitive flailing, the second historian was able to piece together an interpretative structure that brought him by the task's end to where his more knowledgeable colleague began. Data analysis focused on how, lacking detailed content knowledge, this historian was able to regain his intellectual footing, work through confusion, and resist the urge to simplify. Implications of this work for cognitive analyses in history and education are discussed.

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OpenAlex · 10.1016/s0364-0213(99)80043-3

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Metadata

Authors
Wineburg, S.
Venue
Cognitive Science
Publisher
Wiley
Published
1998-07-01
Volume
22
Issue
3
Pages
319-346
ISSN
0364-0213 (ISSN-L)
OpenAlex
W2087563851
Cited by
442
References
3
FWCI
25.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Reading Abraham Lincoln: An Expert/Expert Study in the Interpretation of Historical Texts. https://app.cochat.ai/papers/10.1016/s0364-0213(99)80043-3
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Wineburg, S. (1998). Reading Abraham Lincoln: An Expert/Expert Study in the Interpretation of Historical Texts. Cognitive Science. https://doi.org/10.1016/s0364-0213(99)80043-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.