From Environmental Degradation to Social Transformation: Exploring the Role of Eco-Justice in the Struggles of Indigenous Communities
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
Eco-justice offers a vital framework for examining the intersection of environmental degradation, Indigenous rights, and environmental sociology. Indigenous communities worldwide continue to bear the disproportionate impacts of deforestation, mining, and pollution—harms that not only threaten their physical well-being but also sever deep-rooted cultural, spiritual, and ecological ties to their lands. This paper explores how eco-justice, through its core principles of distributive, procedural, and recognition justice, provides pathways to redress these injustices by advocating for equitable environmental burdens and inclusive decision-making that honors Indigenous sovereignty and knowledge systems. Drawing on case studies from the Amazon, Standing Rock, and the Canadian tar sands, the study highlights how Indigenous movements operationalize eco-justice in their resistance to resource extraction, and in their pursuit of land, cultural preservation, and autonomy. Central to this analysis is the role of Traditional Ecological Knowledge (TEK) in promoting sustainability and ecological resilience. The paper further addresses systemic challenges such as structural racism, tokenistic inclusion, and the exacerbating effects of climate change. It concludes with policy recommendations to integrate Indigenous perspectives into environmental governance and calls for future research that deepens the discourse on eco-justice in Indigenous environmental capaigns.
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 | 0.002 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it