TECHNOLOGICAL SOVEREIGNTY AND SOCIAL JUSTICE: EXPLORING THE INTERSECTION OF FREE SOFTWARE AND INDIGENOUS KNOWLEDGE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Questions of independence and sovereignty have long been present with regards to the Internet. In 1996, for instance, John Perry Barlow published his now well-known “Declaration of the Independence of Cyberspace”. Twenty-five years later, notions like “digital sovereignty”, “data sovereignty” and “technological sovereignty” are increasingly used in public debates. This presentation will explore “technological sovereignty” but through the lens of Indigenous perspectives as well as those of social movements inspired by free software activism. These two perspectives seem to share what can be called an anti-hegemonic perspective on technological sovereignty. While they may reinforce each other, they also differ on many perspectives. It is noted for instance that the philosophy of information sharing in free and open-source software might foster the usage and misappropriation of knowledge held by Indigenous communities (Christen, 2012; Gida, 2019). This analysis will prolong a previous study by the authors which identified different discursive trends around sovereignty (anonymous reference). Methodologically, our approach is grounded in discourse analysis and reviews of academic and activist literature that has mobilized metaphors of digital sovereignty. What is the role of the metaphor of “sovereignty” in reconfiguring Indigenous and social justice activism, in relation to the Internet? What are the commonalities between these perspectives? How are they reinforcing or contradicting each other? We intend to contribute to the theme of this year’s AOIR conference – Independence – by looking at the critical discourses of Indigenous people and social activists through the lens of the metaphor of digital (technological/data) sovereignty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it