Bibliographic record
Abstract
For Barbara RoggemaA partir du film Le Graine et le mulet, dans une famille de Tunisie, il est question dans la pratique du don islamique, inherent a la foi du Coran (i.e. les offrandes a Dieu sont destinees aux pauvres). Tout d’abord, l’auteure evoque sadakah, le don spontane qui date des temps pre-Islamiques, comment il a ete influence plus tard par l’emphase sur la discretion du Coran, comment il a trouve son expression dans les fetes religieuses et comment il a ete englobe dans les aumones et dans les prets. Ensuite l’auteure aborde le mot zakat , l’obligation de faire un don percu comme une taxe religieuse. Enfin l’auteure parle de la recherche actuelle sur le sujet de zakat, surtout depuis qu’il est sorti de la sphere publique vers la sphere privee, sa mobilisation vers des projets politiques et son interaction entre l’engagement humanitaire et les « objectifs subversifs politiques » et elle termine avec l’espoir que les chercheurs conduiront des etudes equilibrees libres de condamnation ou de glorification.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.049 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".