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
What are the implications of climate change for twenty-first-century conflict and security? Rising temperatures, it is often said, will bring increased drought, more famine, heightened social vulnerability, and large-scale political and violent conflict; indeed, many claim that this future is already with us. Divided Environments, however, shows that this is mistaken. Focusing especially on the links between climate change, water and security, and drawing on detailed evidence from Israel-Palestine, Syria, Sudan and elsewhere, it shows both that mainstream environmental security narratives are misleading, and that the actual security implications of climate change are very different from how they are often imagined. Addressing themes as wide-ranging as the politics of droughts, the contradictions of capitalist development and the role of racism in environmental change, while simultaneously articulating an original 'international political ecology' approach to the study of socio-environmental conflicts, Divided Environments offers a new and important interpretation of our planetary future.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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