Climate Trauma and Habits Toward Hope: A Decolonizing Earth-Centered Approach
Bibliographic record
Abstract
Climatechange is fueled by ongoing colonial systems of domination embedded incapitalism, threatening both human and more-than-human life. Trauma theorysuggests that, when faced with overwhelming threat, humans often default tofight, flight, or freeze responses—reactions that can obscure the reality ofthe climate crisis and allow destructive systems to persist. This paperexplores the intersections of colonialism, climate change, and trauma,examining how trauma responses manifest in the face of ecological collapse,including in theological expressions of hope. Drawing on trauma recovery modelsand earth-centered motifs, it proposes decolonizing, trauma-informed practicesthat support sustained engagement with the climate crisis. How can individualsand spiritual communities cultivate the capacity to “stay with the trouble”(Haraway) and act for life’s flourishing, even amid destruction? The paperinvites a reimagining of hope—not as escapism, but as a grounded, relationalpractice for living well in the Anthropocene.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.050 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".