47 research outputs found

    How to head count ethnic minorities: validity of census surveys versus other identification strategies

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    Censuses ask individuals to identify their own ethnicity. Minorities, however, may be reluctant to self-identify; and thus, censuses may underreport minority populations, raising concerns about measurement validity. We identify and measure the extent of this concern by matching census data on Romas in Romania against a nationwide survey of 2800 municipality experts (SocioRoMap). While not perfect, we find considerable overlap between the two strategies. In the cases where the two measures do not match, the density of community networks is the driver for likelihood of non-congruence – but demographics factors and socioeconomic conditions account for the level, i.e. the magnitude of difference between the two estimation strategies. Given the systemic discrimination of Romas, these results are cautiously reassuring. As most countries head into a census-collecting year, this paper offers an empirical strategy for assessing the validity of self-identified numbers. If governments are concerned about measurement, random samples of expert assessments can help validate. Alternatively, policymakers can focus where miscounts are most likely: urban, ethnically diverse, and poor localities

    The economic effects of the territoriality principle : Evidence from Transylvania, Romania

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    The territoriality principle stipulates that minority communities in a given territory should be linguistically accommodated. What are the economic effects of this principle? In this paper, we argue that the recognition of multiple languages confers respect on the minority group; it allows people to engage and participate meaningfully in society – thereby facilitating economic well-being. There is, however, a caveat: When recognition happens in areas where the minority is the overwhelming majority, there is a risk that the near-exclusive use of the minority language cuts the community off from the larger national state, which in turn stunts development. To test this, we focus on Transylvania, Romania. We leverage a legal stipulation that recognizes minority languages in areas where the minority constitutes more than 20% of the population. Using data at the municipal level, we find that recognition increases economic well-being in general – but not in areas where the minority are numerically dominant. Our results are normatively welcoming, but they also caution governments to not simply recognize minority languages but to also protect them adequately

    Framing Effects, Social Norm Perception, and Tolerance of Lesbian and Gay Individuals: Experimental Evidence from Slovakia

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    Perceptions of social norms can have downstream consequences for attitudes and behaviors, especially when it comes to the acceptance of marginalized groups. While interventions focusing on social norms may boost tolerance, few studies test whether variations in norm communication affect individuals’ perceptions. Thus, in this paper, we test the effectiveness of three communicative aspects—valence framing (Experiments 1–3), point of view (Experiment 1), and group centrism (Experiment 3)—in shifting perceptions of social norms. Specifically, we investigate whether manipulating these aspects affects perceptions of tolerance of lesbian and gay individuals in Slovakia, where LGBTQ+ acceptance is among the lowest in Europe. We found that while positively valenced messages shifted perceptions toward tolerance, manipulating point of view and group-centrism did not. We believe that these findings can inform interventions intended to shift perceptions of social norms in hostile contexts, an important first step in changing prejudiced attitudes and behaviors

    Giantsteps-progress towards developing intelligent and collaborative interfaces for music production and performance

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    We present the GiantSteps project, an EU-funded project/ninvolving institutions from academia, practitioners, and industrial/npartners with the goal of developing new concepts for/nintelligent and collaborative interfaces for music production/nand performance. At the core of the project is an iterative,/nuser-centric research approach to music information retrieval/n(MIR) and human computer interaction (HCI) that is designed/nto allow us to accomplish three main targets, namely (1) the/ndevelopment of intelligent musical expert agents to support/nand inspire music makers, (2) more intuitive and collaborative/ninterfaces, and (3) low-complexity methods addressing lowcost/ndevices to enable affordable and accessible production/ntools and apps. In this paper, we report on the main findings/nand achievements of the project’s first 18 months.This work is supported by the European Union Seventh/nFramework Programme FP7 / 2007-2013 through the GiantSteps/nproject (grant agreement no. 610591)
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