The Cultural Foundations of the Islamist Practice of Charity in Morocco
Bibliographic record
Abstract
It is argued in this paper that Islamism articulates through a fundamental receptive pre-existing cultural framework—always in Muslim countries implying an articulation with popular Islamic ideas and practices. Islamist groups are not alien other(s) but born in the history of the Same, and therefore amenable to be classified in types and recognized in identities. In Morocco, the cultural embedding of Islamist movements involves the still-working heritage of maraboutic institutions and beliefs and practices of popular Islam that reconstruct the Islamist lived experience. In this respect, the Islamist practice of charity is explored as an example to demonstrate how the cultural bed incorporates the Islamist rising cultural model of philanthropy. Islamist generosity is schematically fashioned upon the already existing maraboutic and monarchic cultural models as “distributing centres” of charity. It is embedded within a gift-exchange charitable model that juxtaposes alms-giving with loyalty, which may without doubt lubricate the way for attracting new recruits. It smooths power by turning the donee into a position of a willing loyal supplicant under the power of the dominant donor. The Islamists’ popular practice of charity to those in need empowers them to spread their particular version of Islam, thus displaying how their lived experience and socialization to the cultural bed where they are born further inspires them than any of their written dogmas.
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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 | 0.003 | 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 | 0.011 | 0.014 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".