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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Do Grids Demobilize? How Street Networks, Social Networks, and Political Networks Intersect |
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Identification Number: |
doi:10.7910/DVN/9FUPQQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-08-09 |
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Version: |
1 |
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Bibliographic Citation: |
Nathan, Noah, 2024, "Replication Data for: Do Grids Demobilize? How Street Networks, Social Networks, and Political Networks Intersect", https://doi.org/10.7910/DVN/9FUPQQ, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Do Grids Demobilize? How Street Networks, Social Networks, and Political Networks Intersect |
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Identification Number: |
doi:10.7910/DVN/9FUPQQ |
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Authoring Entity: |
Nathan, Noah (Massachusetts Institute of Technology) |
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Producer: |
Noah Nathan |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Noah Nathan |
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Depositor: |
Nathan, Noah |
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Date of Deposit: |
2024-04-02 |
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Holdings Information: |
https://doi.org/10.7910/DVN/9FUPQQ |
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Study Scope |
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Keywords: |
Social Sciences, Urban politics; built environment; Ghana; Africa |
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Abstract: |
Amid rapid urbanization in the developing world, there is growing interest in the effects of urban context on political behavior. An underexplored element of urban context is the built environment itself – the physical architecture and design of urban space – which can structure how residents interact both with each other and with the state. Drawing on street network data and an original survey from urban Ghana, I suggest that more gridded, orderly neighborhoods reduce the social interactions residents have with neighbors, lower embeddedness in political problem-solving networks, and depress electoral turnout. Rather than making residents more legible to state officials, gridded streets make the local state and political realm less legible to residents by reducing opportunities to forge politically-valuable social ties in a context of clientelist politics. The paper demonstrates that greater focus is needed on built environments to understand the social structures undergirding grassroots urban politics. |
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Notes: |
This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
Ghana Population and Housing Census, 2010, Ghana Statistical Service, obtained from the Ghana Statistical Service, Accra, Ghana: http://www.webdeploy.statsghana.gov.gh/nada/index.php/catalog/51 |
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<br></br> Geoff Boeing, 2021, "Street Network Models and Indicators for Every Urban Area in the World," Geographical Analysis. See Harvard Dataverse: https://dataverse.harvard.edu/dataverse/global-urban-street-networks |
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<br></br> Noah Nathan, 2024, "Explaining Urban Order: The Autocratic Origins of Africa's City Street Networks," working paper available at: https://osf.io/preprints/osf/y4upa |
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<br></br> Jeffrey Paller, 2019, Democracy in Ghana: Everyday Politics in Urban Africa, Cambridge University Press (especially pg. 274) |
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Data Access |
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Disclaimer: |
The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences 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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Other Study Description Materials |
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codebook.pdf |
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application/pdf |
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grids_maintext_LOG.txt |
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text/plain |
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grids_SI_LOG.txt |
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text/plain |
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Label: |
README.txt |
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Notes: |
text/plain |
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Label: |
.Rapp.history |
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application/octet-stream |
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Label: |
grids_maintext.R |
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type/x-r-syntax |
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grids_SI.R |
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type/x-r-syntax |
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Label: |
.Rapp.history |
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application/octet-stream |
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followup_survey.Rdata |
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application/x-rlang-transport |
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mainsurvey.Rdata |
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application/x-rlang-transport |
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paller_test_data.Rdata |
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application/x-rlang-transport |
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paths_data.Rdata |
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application/x-rlang-transport |
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psdata.Rdata |
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application/x-rlang-transport |
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resp_polys.Rdata |
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application/x-rlang-transport |
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sample_startpoints.Rdata |
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application/gzip |
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t-communities.Rdata |
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application/x-rlang-transport |
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tcom_119.zip |
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application/zipped-shapefile |
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tcom_176.zip |
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application/zipped-shapefile |
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tcom_178.zip |
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application/zipped-shapefile |
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tcom_182.zip |
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application/zipped-shapefile |
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tcom_197.zip |
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application/zipped-shapefile |
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tcom_212.zip |
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application/zipped-shapefile |
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tcom_214.zip |
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application/zipped-shapefile |
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tcom_214_NNEDIT.csv |
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Notes: |
text/csv |
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tcom_215.zip |
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application/zipped-shapefile |
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tcom_236.zip |
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application/zipped-shapefile |
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tcom_243.zip |
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application/zipped-shapefile |
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tcom_245.zip |
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application/zipped-shapefile |
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tcom_247.zip |
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application/zipped-shapefile |
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tcom_310.zip |
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application/zipped-shapefile |
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tcom_349.zip |
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application/zipped-shapefile |
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tcom_367.zip |
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application/zipped-shapefile |
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tcom_415.zip |
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application/zipped-shapefile |
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tcom_428.zip |
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application/zipped-shapefile |
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tcom_60.zip |
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application/zipped-shapefile |
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tcom_9.zip |
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application/zipped-shapefile |
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tcom_95.zip |
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application/zipped-shapefile |
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tcom_97.zip |
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Notes: |
application/zipped-shapefile |