Eco-anxiety and a Desire for Hope: A Composite Article on the Impacts of Climate Change in Environmental Education
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 Responding to increasing concerns regarding human-induced climate change and shared commitment as environmental educators to support climate action, we crafted this article as a composite piece — an emerging method of inquiry. We are eleven contributors: the Editorial Executive of the Australian Journal of Environmental Education and two colleagues who each respond to prompts concerning our experience of climate change and our practices of climate change education. The responses provide insights regarding how we strive to enact meaningful climate action, education, advocacy and agency. This article presents the reader with various ways environmental educators work through eco-anxiety and engage in active hope when supporting climate change education/agency/action. The following insights emerged, illustrating 1. the significance of embracing diverse perspectives and knowledge systems; 2. Emotions as catalysts for action and activism; 3. the value of fostering collaborative spaces/relationships/communities that empower people; 4. the importance of integrating ethical responses and critical climate literacy in climate change education/research; 5. learning from places and multi-species entanglements; 6. acknowledging tensions. We offer these six insights not as a solution but as a potentially generative heuristic for navigating the complexity and uncertainty of climate change education in contemporary times.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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