Political nomadism and the Jihadist ‘Safe Haven’ in northern Mali: an entry point through Tuareg relational political dynamics
Bibliographic record
Abstract
ABSTRACT Jihadist groups have found a ‘safe haven’ in northern Mali. They have managed this by operating strategically to establish themselves and to develop relationships with local communities, but characteristics of the environment have also facilitated their development and survival. In northern Mali, the political landscape is fragmented, and replete with competition between the central authority and various groups of local elites, who are themselves divided. I conceptualise this fluid environment as a context that incentivises ‘political nomadism’. Using the Tuareg communities as an entry point, I explore the complex dynamics between local and national political actors and jihadist groups in northern Mali. I argue that the jihadist ‘safe haven’ in northern Mali is highly relational and has been facilitated by the form of political nomadism practiced in the region since the 1990s. The article is based on eight months of fieldwork conducted between 2016 and 2017 in Mali and Niger.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".