Bibliographic record
Abstract
Abstract Indigenous experiences with climate change have become increasingly visible through media stories of rising sea levels, heavy storms, and coastal erosion due to climate change in places as different as Tuvula in the South Pacific and Shishmaref in the Alaskan Arctic. Despite these bursts of attention, indigenous concerns and experiences have not been well or diversely represented in media coverage, nor have they been consistently studied in media scholarship—nor until recently, have indigenous people or knowledge been mentioned in major climate agreements and scientific assessments. There is, however, a growing body of interdisciplinary scholarship that draws on indigenous knowledge, experiences, and activism related to climate change. Indigenous peoples comprise 5% of the world’s population and live in over 90 countries around the world. Because indigenous communities are often located outside major urban centers, indigenous peoples are likely to suffer disproportionately from the impacts of climate change. Many indigenous people live in close connection with the ecosystems in their region, and collectively held Traditional Ecological Knowledge (TEK) is passed down through multiple generations, providing in-depth, systematic, meaningful, and historically informed views of climate change and potential pathways for resilience and adaptation. Indigenous people have often been portrayed in media coverage as victims with little attention paid to TEK, communal resilience, human rights and climate justice frameworks, or the historical contexts that may amplify climate change impacts. While indigenous people have diverse circumstances and histories, many are likely to have suffered enormous upheaval in recent centuries due to colonialism, resource development, economic shifts, loss of human rights, and lack of self-determination. Climate change often intensifies existing vulnerabilities and risks. These deeply intertwined social and environmental crises create distinct challenges for considering how and what climate change means for diverse indigenous peoples, how to address it at all levels of governance, and how media can and should be accountable to and represent indigenous publics.
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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 | 0.016 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".