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Data politics and Indigenous representation in Australian statistics
Abstract
Accepting the philosophical premise that numbers exist, as perQuine (1948), is ontologically different to accepting that numbershave a fixed reality. This differential is the essence of the reality ofnumbers as they are applied to indigenous populations. In First Worldcolonised nations such as Australia, Aotearoa/New Zealand, Canadaand the United States, the question is not just 'are these numbers real',but also 'how are these numbers deployed and whom do they serve'.The reality query is not of the numbers themselves but of what theypurport to portray. Numbers, configured as population or population sample data, arenot neutral entities. Rather, social and population statistics are betterunderstood as human artefacts, imbued with meaning. And, in theircurrent configurations, the meanings re.fleeted in statistics are primarilydrawn from the dominant social norms, values and racial hierarchy ofthe society in which they are created. As such, in colonising nation-states,statistics applied to indigenous peoples have a raced reality thatis perpetuated and normalised through their creation and re-creation (Walter 2010; Walter & Andersen 2013). The numerical format of thesestatistics and their seemingly neutral presentation, however, elidetheir social, cultural and racial dimensions. In a seemingly unbrokencircle, dominant social norms, values and racial understandingsdetermine statistical construction and interpretations, which thenshape perceptions of data needs and purpose, which t…
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Deficit-based epidemiology has traditionally shown Indigenous Peoples and communities through a lens of disparity, deprivation, disadvantage, dysfunction, and difference.
“This approach is in distinct contrast to deficit-based epidemiology that has traditionally shown Indigenous Peoples and communities through a lens of “disparity, deprivation, disadvantage, dysfunction, and difference””
From Addressing the need for indigenous and decolonized quantitative research methods in Canada (2021) · cites this paper as Walter, 2016, p. 80
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Indigenous Data Governance: Strategies from United States Native Nations
Carroll, S. R., Rodriguez-Lonebear, D., & Martinez, A. (2019) · Data Science Journal · doi:10.5334/dsj-2019-031 · Cited by 264
Addressing the need for indigenous and decolonized quantitative research methods in Canada
Hayward, A., Wodtke, L., Craft, A., Robin, T., Smylie, J., McConkey, S., Nychuk, A., Healy, C., Star, L., & Cidro, J. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100899 · Cited by 69
Critical epidemiology in action: Research for and by indigenous peoples
Prussing, E. (2018) · SSM - Population Health · doi:10.1016/j.ssmph.2018.09.003 · Cited by 60
Rana, V., & Azeez, G. K. (2025) · Journal of Higher Education Policy and Management · doi:10.1080/1360080x.2025.2469920 · Cited by 4
Prehn (Worimi), J., Carlson (Aboriginal), B., Walter (Palawa), M., Lovett (Wongaibon/Ngiyampaa), R., & Maher (Yamatji, N. (2026) · Journal of Sociology · doi:10.1177/14407833261460137
Metadata
- Authors
- Walter, M.
- Venue
- Indigenous Data Sovereignty
- Publisher
- ANU Press
- Published
- 2016-11-14
- Cited by
- 77
- References
- 0
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