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My History or Our History? Historical Revisionism and Entitlement to Lead

Published online by Cambridge University Press:  14 December 2023

NICHOLAS HAAS*
Affiliation:
Aarhus University, Denmark
EMMY LINDSTAM*
Affiliation:
IE University, Spain
*
Corresponding author: Nicholas Haas, Associate Professor, Department of Political Science, Aarhus University, Denmark, nick.haas@ps.au.dk.
Emmy Lindstam, Assistant Professor, School of Politics, Economics and Global Affairs, IE University, Spain, emmy.lindstam@ie.edu.
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Abstract

Ongoing, spirited debates from around the globe over statues, street names, symbols, and textbooks call for a greater understanding of the political effects of different historical representations. In this paper, we theorize that inclusive (exclusive) historical representations can increase (decrease) marginalized group members’ perceived centrality to the nation, entitlement to speak on its behalf, and likelihood of becoming leaders. In an online experiment in India ($ N=1,592 $), we randomly assign participants exercises sourced from official state textbooks containing either an exclusive, inclusive, or a neutral representation of history. We subsequently assess the supply of and demand for Muslim leadership using both an original, incentivized game and additional survey and behavioral measures. We find that inclusive historical narratives increase Muslim participants’ perceived centrality and entitlement, desire to lead, and demand for real-world Muslim leaders. Battles over history can carry consequences for the leadership ambitions of marginalized individuals, for themselves and their communities.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Table 1. Summary of Hypotheses

Figure 1

Figure 1. Sequence of Study Stages

Figure 2

Table 2. Historical Representations

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Figure 2. Perceived CentralityNote: Figure shows treatment effects of historical representations on relative perceived historical contributions of Muslims versus Hindus (panel a), perceived contributions of Muslims (panel b), perceived contributions of Hindus (panel c), as well as on respondents’ self-assessed prototypicality (panel d; prototypicality is the average of the two survey items). We display both overall results, and results split by respondent religion. Here, 95% (thin line) and 90% (thick line) confidence intervals are shown. See Table B5 in the Supplementary Material for full regression model output.

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Figure 3. Perceived EntitlementNote: Figure shows treatment effects of historical representations on whether individuals perceived the Muslim MLA shown in the report card as qualified (panel a) or deserving (panel b) of office, as well as whether individuals perceived themselves as qualified (panel c) or deserving (panel d) of serving as group leader. We display both overall results, and results split by respondent religion. Here, 95% (thin line) and 90% (thick line) confidence intervals are shown. See Table B6 in the Supplementary Material for full regression model output.

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Figure 4. Treatment Effects on Supply of LeadershipNote: Figure displays treatment effects of historical representations on willingness to take on a leadership role, with panel a showing means with 95% intervals and panel b showing output from linear regression models excluding controls (bright colors) and including sociodemographic controls (dim colors). The outcome variable ranges from 1 (not at all willing) to 4 (very willing). See Table B2 in the Supplementary Material for full regression model output.

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Figure 5. Demand for Muslim Leaders among Hindu RespondentsNote: Panel a shows how Hindus in Hindu-majority groups ranked their Hindu and Muslim group members. The values indicate the proportion of Hindus who ranked their group member as first, second, or last. Panel b shows expected pro-Hindu bias in the different treatment conditions which we calculate by subtracting the rank given to a Muslim partner from the rank given to a Hindu partner. The resulting variable ranges from −2 to 2, with more positive values indicating a stronger preference for Hindu partners. Here, 95% confidence intervals are shown. See Table B3 in the Supplementary Material for full regression model output.

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Figure 6. Group Composition and Willingness to Lead among MuslimsNote: Panel a displays regression output where we interact treatment assignment with a binary (“binary” column) or categorical (“full distribution”) indicator for the religious composition of a participant’s randomly assigned group (homogeneous, mixed Hindu majority, or mixed Muslim majority). Here, 95% (thin line) and 90% (thick line) confidence intervals are shown. Panel b shows simulated sampling distributions for respondents in the control and inclusive treatment conditions, by their group composition. We simulate sampling distributions by taking one thousand random draws from a multivariate normal distribution with means corresponding to the coefficients and variance corresponding to the variance–covariance matrix. The outcome in both cases is willingness to lead and analysis is limited to Muslims. See Table B4 in the Supplementary Material for full regression model output.

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Figure 7. Treatment Effects on Willingness to Seek Out InformationNote: Figure displays treatment effects of historical representations on willingness to receive information on how to become politically involved (dummy 0–1). Panel a shows means with 95% intervals and Panel b shows output from linear regression models excluding (bright colors) and including (dim colors) sociodemographic controls. See Table B7 in the Supplementary Material for full regression model output.

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Figure 8. Treatment Effects on Politician EvaluationsNote: Figure displays treatment effects of historical representations on evaluations of Hindu and Muslim politicians (MLAs). Coefficients are based on linear regression models excluding controls (bright colors) and including sociodemographic controls (dim colors). Here, 95% (thin line) and 90% (thick line) confidence intervals are shown. The outcome variable ranges from 1 to 5. See Table B8 in the Supplementary Material for full regression model output.

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