Agrarian climate justice as a progressive alternative to climate security: Mali at the intersection of natural resource conflicts
Bibliographic record
Abstract
Natural resource conflicts in Mali in the last decade represent an important case to visualise the interconnection between land and climate issues. The country has received significant international attention in recent years both due to the announcement of large-scale land deals and due to its perceived vulnerability to climate stress. At the same time, Malian peasant movements have formed important networks of resistance and have been leading the pilot implementation of village land commissions to recognise and manage community resources, based on a new Agricultural Land Law. This paper explores emerging trends in natural resource politics through the lens of interactions between land and climate policies and discourses. We analyse the growing use of the frame of ‘climate security’ to associate climate change, conflict and migration in relation to countries such as Mali, by looking into the possibilities that this frame could shift focus and blame towards conflicts between marginalised groups and further close space for bottom-up participation. As an alternative, we explore the relevance of a platform of agrarian climate justice and the possibilities and challenges of enacting some of its principles through the implementation of the village land commissions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".