Not All Hope is Created Equal: Climate Action Research as a Source of Critical Hope
Bibliographic record
Abstract
Climate action research can be an emotionally and intellectually challenging space, given the magnitude of the climate crisis, the slow pace of progress, the existential weight of environmental degradation and isolation that results when researchers work and write alone. But action research for climate justice can also be an endeavour of hopefulness and vibrancy, wherein community connections and co-developed climate research data can forge meaningful changes for long term emotional and ecological sustainability. In this article, we examine the seven principles of critical hope (Redacted by Managing Editor, 2022) as a framework for identifying climate action research projects that exemplify critical hope. We draw on examples from both inside and outside the academy to explore how climate action research projects contribute to the communication and cultivation of critical climate hope.
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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 | 0.070 | 0.103 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.038 | 0.139 |
| Scholarly communication | 0.034 | 0.027 |
| Open science | 0.004 | 0.030 |
| Research integrity | 0.010 | 0.019 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".