Bibliographic record
Abstract
Cet article tente de voir dans la pratique religieuse, et spécifiquement celle de l’islam, les indices d’une réponse individuelle à l’injustice sociale. La démarche de mise en contexte part de la thèse de Nancy Fraser qui consiste à reconsidérer la justice sociale à travers ses dimensions de reconnaissance et de redistribution. La perspective de l’auteure féministe se rapproche de la praxis coranique de la zakat . Aussi, l’initiative se poursuit en exposant ce commandement divin au fondement de la foi. Trois propriétés y sont rattachées : 1) la zakat constitue un vecteur de redistribution des biens possédés ; 2) elle formule une créance du démuni sur les biens du nanti ; 3) elle construit une éthique de comportement individuel élevée sur la solidarité et la justice. Finalement, l’entreprise figure une proposition possible dans le contexte québécois.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".