Bibliographic record
Abstract
RésuméLes mussem-s sont des fêtes saisonnières, à la fois foires et pèlerinages célébrés aux environs du sanctuaire d’un saint personnage. Au Maroc, lors des festivités annuelles célébrant le jour de la naissance du prophète Muhammad, le Palais royal organise à Meknès le mussem du Chaykh al-Kâmil, censé représenter le pèlerinage des disciples de la confrérie soufie des Aïssâwa. Cet article décrit et analyse l’organisation et le fonctionnement de ce mussem dans le champ culturel et religieux du Maroc. Les données de l’auteur proviennent d’une enquête de terrain menée auprès du public pèlerin, des membres de la confrérie des Aïssâwa, des hauts responsables de l’ordre religieux et des autorités publiques. Par une approche socio-anthropologique et historique, le but est de saisir la signification et les enjeux de ce mussem dans la société marocaine contemporaine pour conclure sur son déclin depuis les années 1980.
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 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 | 0.001 | 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 | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".