The Institutionalization of Al-Qaeda in the Islamic Maghreb (AQMI)
Bibliographic record
Abstract
A number of observers have expressed serious concerns that Al-Qaeda in the Islamic Maghreb (AQMI), as it expands in the Sahel, may become strong enough to be a threat to Europe and carry on the global mission of Al-Qaeda as conceived by bin Laden. This fear seems unwarranted. Using institutional analysis to study the AQMI behavioral fluctuations over the last decade, this article argues that AQMI's need to find a compromise between external and internal legitimacy has constrained its behavior. The affiliation of the Algerian terrorists with Al-Qaeda was in many ways a marriage of convenience that created a number of internal contradictions. At the cognitive level, implicit Algerian nationalism to rid the country of its corrupt regime remains at odds with pan-Islamic views shared by Al-Qaeda's leadership. At the normative level, indiscriminate suicide bombing supported by Al-Qaeda is abhorrent to many Algerian terrorists, who construe their mandate in the spirit of the Algerian war of independence where it is their duty to protect civilians. These and other contradictions prevent AQMI from developing a coherent political agenda and thus it is less likely to engage in a long-term conflict against European societies.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".