Networking for Indigenous Rights: Evolving Relationships between Indigenous and Non-Indigenous Civil Society Organizations
Bibliographic record
Abstract
The establishment of the United Nations Permanent Forum on Indigenous Issues, the UN General Assembly’s adoption of the Declaration on the Rights of Indigenous Peoples, and non-Indigenous support of Indigenous-led social movements in the 2010s have introduced new dynamics to the ways Indigenous rights civil society organizations (CSOs) conduct advocacy. Much of the literature on Indigenous advocacy focuses on CSO relationships prior to the Permanent Forum’s first meeting in 2002, and on the impact of subsequent developments on the relationships of Indigenous nations, CSOs, and activists with state actors. While this literature outlines methods for Indigenous peoples to utilize in their interactions with states, Indigenous peoples historically face obstacles within transnational advocacy networks, and their relationships with CSOs affect the efficacy and outcomes of their advocacy. There is a gap in the literature dealing with how these recent developments affected relationships between Indigenous and non-Indigenous CSOs associated with the global Indigenous rights movement, and what these new realities mean for Indigenous rights advocacy. Drawing on literature on transnational advocacy networks, Indigenous activism, and movement framing, this dissertation asks: How have relationships, interactions, and shared goals between Indigenous and non-Indigenous CSOs connected to the global Indigenous rights movement developed and changed following the creation of the Permanent Forum and the passage of UNDRIP? Using thematic analysis of semi-structured interviews with volunteers and staff of Indigenous and non-Indigenous CSOs associated with the global Indigenous rights movement, this study examines evolutions in the mutual understanding, collaboration, communication, resource sharing, and power dynamics between Indigenous and non-Indigenous CSOs over the past twenty-two years. The findings of this research demonstrate that Indigenous CSOs across contexts experienced increases in support and/or awareness in recent years, maintained independence in their messaging, and encountered persistent issues related to the essentialization of Indigenous identity amongst non-Indigenous audiences. Regional variation between Asian and CANZUS country CSOs (Canada, Australia, New Zealand, and the United States) occurred in the levels of optimism for sustaining non-Indigenous support, the usage of the Declaration on the Rights of Indigenous Peoples (UNDRIP) in advocacy efforts, and trends in partnerships across CSO types. Ultimately, UNDRIP has provided a set of rights for organizations to point towards, but it did not change the dynamics within Indigenous rights networks.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".