Bibliographic record
Abstract
For decades, scholars and policy-makers have disputed whether environmental degradation caused by human-induced climate change needs to be addressed and reversed in order to prevent conflict, or whether the instabilities generated by such degradation (resource scarcity, reduction of arable land, mass migration of so-called environmental refugees, etc.) provides a compelling new rationale for preparing militarily to fight the "climate change conflicts" of the future. Exploring the tension between these perspectives, the paper argues that any effective practical response implies and requires a change in the conceptual climate of the debate sufficient to discredit a literally devastating circular argument: that environmental problems, caused in part by the multiple impacts of industrial militarism, can be adequately addressed by new military strategies and spending, a "war reflex" only serving to exacerbate political tensions, widen and deepen already chronic inequalities, and inflict further ecological harm. The paper contrasts the state-centric status quo with the human-centric agenda of sustainable peace, a concept with the potential – if defined with sufficiently radical, transnational rigor – to disrupt and transform the sovereignty paradigm. The paper concludes by drawing on both Western and Indigenous political theory to ask what we think we mean by – or have come to accept as – "peace" and "power."
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".