Indigenous sovereignty in digital territory: a qualitative study on land-based relations with #NativeTwitter
Bibliographic record
Abstract
Technology scholars have often framed cyberspace as landless. Critical technology and Indigenous new media scholars have critiqued this approach, citing the land-based nature of Internet infrastructure. This study seeks to further develop the conceptual framework of Indigenous land-based relations through qualitative analysis of Indigenous language revitalization networks within Twitter. Using a thematic analysis approach, six key themes emerged: (a) Land-based cyber-pedagogy, (b) Rematriations of land-based relations in digital environments, (c) Digital bridges to homelands and lifeways, (d) Networked cultural navigation, (e) Settler colonialism in cyberspace, and (f) Indigenous digital sovereignty and cyber-justice. Implications for theory and practice in both new media studies and language revitalization are considered, with a focus on elucidating the land-based nature of the Internet, Indigenous people's navigation of colonialism within the Internet, and the meaning of anti-colonial resistance in cyberspace.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".