Unpacking “glocal” jihad: from the birth to the “sahelisation’ of Al-Qaeda in the Islamic Maghreb
Bibliographic record
Abstract
Jihadist groups are often analysed either by looking at their global rhetoric, or by focusing on local grievances. Despite the distinctions made between the global and the local issues, these groups often belong to a complex “glocal jihad,” meaning that the borders between local, national, regional, transnational, and global layers, are partially blurred due in large part to the symbolic dimensions and imaginaries shared within the broader jihadist landscape. Rethinking and clarifying the notion of “glocal jihad” and applying it to Al-Qaeda in the Islamic Maghreb (AQIM) reveals the complex interconnections that exist between the different layers and the ambiguous spatial reality of the group. The glocal jihad is understood as a dialectical process and as a sequence of events and actions occurring in intertwined layers. By analysing the “glocal realities,” this article will attempt to craft a critical understanding of the group.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".