The Equity Dimension of Climate Change: Perspectives From the Global North and South
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
The articles in this thematic issue represent a variety of perspectives on the challenges for equity that are attributable to climate change. Contributions explore an emerging and important issue for communities in the Global North and Global South: the implications for urban social equity associated with the impacts caused by climate change. While much is known about the technical, policy, and financial tools and strategies that can be applied to mitigate or adapt to climate change in communities, we are only now thinking about who is affected by climate change, and how. Is it too little, too late? Or better now than never? The articles in this thematic issue demonstrate that the local impacts of climate change are experienced differently by socio-economic groups in communities. This is especially the case for the disadvantaged and marginalized—i.e., the poor, the very young, the aged, the disabled, and women. Ideally, climate action planning interventions should enhance quality of life, health and well-being, and sustainability, rather than exacerbate existing problems experienced by the disadvantaged. This is the challenge for planners and anyone working to adapt to climate change in our communities.
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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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 it