Historic and Contemporary Environmental Justice Issues among Native Americans in the Gulf Coast Region of the United States
Bibliographic record
Abstract
Settler-colonialism is founded in environmental racism, and environmental justice is foundational to all forms of decolonialization. Native American groups located in the Gulf Coast Region of the United States are particularly vulnerable to environmental justice issues such as climate change and oil spills due to their geographic location and reliance on the coastal region for economic and social resources. This study used the framework of historical oppression, resilience, and transcendence (FHORT) to explore the historic and contemporary forms of environmental injustice experienced by a Native American tribe in the Gulf Coast region of the United States. This critical ethnography analyzeda series of individual, family, and focus group semi-structured qualitative interviews with a total of 208 participants. Following the critical ethnographic method, data were interpreted through reconstructive analysis using NVivo. Findings of this study reveal the continuing impact of the BP oil spill and difficulty accessing resources following the spill, complicated by the tribe’s lack of federal recognition. Additional themes include the continuing impact of coastal erosion, historical and contemporary land loss, geographic marginalization, and concerns about a loss of tribal identity when tribal members are forced to relocate. Lack of federal tribal recognition has exacerbated all of these issues for this tribe. This study supports national findings that Native American groups experience extensive historic and contemporary environmental injustices and contextualizes these findings for a Native American tribe in the Gulf Coast region of the United States. Recognizing Native American sovereignty is key to addressing the environmental justice issues described.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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".