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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: How to Measure Legislative District Compactness If You Only Know It When You See It |
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Identification Number: |
doi:10.7910/DVN/FA8FVF |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2021-03-22 |
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Version: |
1 |
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Bibliographic Citation: |
Kaufman, Aaron R.; King, Gary; Komisarchik, Mayya, 2021, "Replication Data for: How to Measure Legislative District Compactness If You Only Know It When You See It", https://doi.org/10.7910/DVN/FA8FVF, Harvard Dataverse, V1, UNF:6:35bRbD/BTBvdHB84G6SBmQ== [fileUNF] |
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Citation |
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Title: |
Replication Data for: How to Measure Legislative District Compactness If You Only Know It When You See It |
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Identification Number: |
doi:10.7910/DVN/FA8FVF |
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Authoring Entity: |
Kaufman, Aaron R. (New York University Abu Dhabi) |
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King, Gary (Harvard University) |
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Komisarchik, Mayya (University of Rochester) |
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Other identifications and acknowledgements: |
Mayya Komisarchik |
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Producer: |
Kaufman, Aaron R. |
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Komisarchik, Mayya |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Kaufman, Aaron R. |
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Access Authority: |
King, Gary |
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Access Authority: |
Komisarchik, Mayya |
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Depositor: |
Kaufman, Aaron R. |
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Date of Deposit: |
2018-09-24 |
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Holdings Information: |
https://doi.org/10.7910/DVN/FA8FVF |
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Study Scope |
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Keywords: |
Social Sciences, Redistricting, Measurement, Machine learning |
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Abstract: |
To deter gerrymandering, many state constitutions require legislative districts to be “compact.” Yet, the law offers few precise definitions other than “you know it when you see it,” which effectively implies a common understanding of the concept. In contrast, academics have shown that compactness has multiple dimensions and have generated many conflicting measures. We hypothesize that both are correct—that compactness is complex and multidimensional, but a common understanding exists across people. We develop a survey to elicit this understanding, with high reliability (in data where the standard paired comparisons approach fails). We create a statistical model that predicts, with high accuracy, solely from the geometric features of the district, compactness evaluations by judges and public officials responsible for redistricting, among others. We also offer compactness data from our validated measure for 17,896 state legislative and congressional districts, as well as software to compute this measure from any district. |
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Notes: |
This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the <a href="https://ciser.cornell.edu/" target="_blank">Cornell Institute for Social and Economic Research (CISER) at Cornell University</a>. <br></br> The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the <a href="https://osf.io/tvyxz/wiki/home/" target="_blank">Center for Open Science</a>.<br></br> <img src="https://odum.unc.edu/files/2020/03/OpenData_PR-1.png" alt="Open Data Badge" height="77" width="80"> <img src="https://odum.unc.edu/files/2020/03/OpenMaterials_PR-1.png" alt="Open Materials Badge" height="77" width="80"> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Disclaimer: |
The <i>American Journal of Political Science</i> and the Odum Institute for Research in Social Science are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use. |
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Notes: |
This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Kaufman, Aaron R., Gary King, and Mayya Komisarchik. 2021. “How to Measure Legislative District Compactness If You Only Know It When You See It.” <i>American Journal of Political Science</i> 65 (3): 533-50. |
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Identification Number: |
10.1111/ajps.12603 |
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Bibliographic Citation: |
Kaufman, Aaron R., Gary King, and Mayya Komisarchik. 2021. “How to Measure Legislative District Compactness If You Only Know It When You See It.” <i>American Journal of Political Science</i> 65 (3): 533-50. |
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