Environmental colonialism, digital indigeneity, and the politicization of resilience
Bibliographic record
Abstract
While there is wide scholarly agreement that anthropogenic climate change has serious global implications, more debate exists around whether discourses of adaptation and resilience are effective at inspiring the necessary politics for addressing those implications. Resilience-based policies have been criticized for being overly techno-bureaucratic in nature, while leaving intact the deeper colonial and neoliberal logics that produce ecological destruction in the first place. This paper examines the Internet as a tool that Indigenous peoples are using to intervene in discourses of resilience, to mitigate the colonial impact that resilience and adaptation policies have on their communities. It does this through an exploration of how Inuit in Canada are leveraging digital technologies to engage in discussions about hunting and climate change in the Arctic. The paper argues that Inuit are engaging in digital forms of politics to re-scale their vulnerability beyond the local, to highlight dimensions of Arctic resilience beyond the “traditional,” and to intervene in the colonial relationships that produce environmental vulnerability in the first place.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".