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Mapping and safeguarding indigenous oral histories using an open source tool

Authors: Rudo Kemper;

Mapping and safeguarding indigenous oral histories using an open source tool

Abstract

For many indigenous and other local communities in the rainforests of South America, survival in the rainforest has always depended on an intimate knowledge of their territory, passed down by their ancestors. Place-based stories help determine where food or resources are located, or where dangers lie hidden. Most importantly, the oral histories reinforce their historical and cultural connection to their homelands, which in turn informs their collective identity. However, in the contemporary context, oral history storytelling traditions are at risk of disappearing as younger community members leave their villages recurrently or permanently, in search of work. To prevent invaluable oral histories from disappearing into oblivion, we developed a methodology and built a FOSS application to help communities map their oral histories. Terrastories was born in 2018 after realizing the need for an offline-first geostorytelling tool that can work in very remote conditions such as the Amazon rainforest, and give communities the power to manage their own traditional knowledge and storytelling data. I will share how the project was born and why indigenous peoples needed this tool, how Terrastories works, and discuss some tough questions around data sovereignty, protection of sensitive data, and archiving traditional knowledge.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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