Climate & Language: An Entangled Crisis
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
Abstract Rising ocean levels threaten entire communities with relocation. The continued erosion of Arctic coastlines due to melting ice sheets and thawing permafrost has forced Inuit communities to move to more secure locations. Each move dislodges Indigenous peoples and their languages from ancestral landscapes and ways of knowing, obligating communities to adopt colonial or majority languages. Scholars and activists have documented the intersections of climate change and language endangerment, with special focus paid to their compounding consequences. We consider the relationship between language and environmental ideologies, synthesizing previous research on how metaphors and communicative norms in Indigenous and colonial languages and cultures influence environmental beliefs and actions. We note that these academic discourses-as well as similar discourses in nonprofit and policy-making spheres-rightly acknowledge the importance of Indigenous thought to environmental and climate action. Sadly, they often fall short of acknowledging both the colonial drivers of Indigenous language “loss” and Indigenous ownership of Indigenous language and environmental knowledge. We propose alternative framings that emphasize colonial responsibility and Indigenous sovereignty. Finally, we reflect on emergent vitalities and radical hope in Indigenous language movements and climate justice movements.
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 | 0.001 | 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 | 0.003 | 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) | 0.002 | 0.017 |
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