Digital self-determination: Aboriginal peoples and the network society in Canada
Bibliographic record
Abstract
Digital Self-Determination: Aboriginal peoples and the network society in Canada"Digital self-determination seeks to elaborate the links between networked digital infrastructure development and the autonomy and agency of indigenous peoples.It foregrounds how indigenous peoples are involved in the diffusion, construction, governance, and use of networked digital infrastructures.Importantly, it considers how these infrastructures are not only tools of emancipation, but can increase the surveillance and control of indigenous peoples by powerful state and corporate interests.They can also extend the historic and ongoing reality of the 'offline' economic, social, political, and cultural marginalization of indigenous peoples by colonial powers.However, to accept such negative effects at face value is to fall into the trap of the teleological fallacies of social and technical determinism.Instead, in this dissertation I argue that indigenous peoples can shape and use networked digital infrastructures to support their self-determination.These processes are often guided by a recognition of self-determination that is grounded in and emergent from diverse indigenous laws, customs, and institutions.This frames digital self-determination with reference to the long-term and ongoing work of indigenous peoples to shape their own community-based media organizations and endogenous development projects.My dissertation considers these issues as they articulate with several facets of digital self-determination.I ground my argument in empirical research on the Northern Indigenous Community Satellite Network (NICSN), a cooperative socio-technical network spanning the northern regions of three Canadian provinces: Ontario, Quebec, and Manitoba.NICSN involves two First Nations Tribal Councils and a regional government that administers the Inuit territory of Nunavik.These partners collaborated to build and manage regional infrastructure in ways that reflect the needs of their constituent communities.I explore how these institutions are taking control and ownership of the infrastructures that enable their development and use of online v applications.Moving beyond considerations of access, I frame these infrastructures as socially shaped platforms of agency that mediate relations between indigenous peoples and the global network society.They are the result of dynamic negotiations and struggles between political actors seeking to advance normative agendas.These activities play out in the formation of frameworks of subsidies and regulatory conditions that reflect attempts to decolonize state-based policies and institutions associated with networked digital infrastructure development.Finally, I end with a discussion of how indigenous peoples and governments are developing online applications, from social media to broadband-enabled health and education applications.Negotiating the requirements of existing jurisdictional and administrative structures, they are shaping these platforms into spaces of convergence that reflect their goals of self-determination.Throughout this dissertation, I situate my observations in broader political, economic, and cultural contexts to elaborate both the promise and the challenge of digital selfdetermination.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.040 | 0.014 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".