Bibliographic record
Abstract
French Abstract: Le systeme financier islamique (SFI) repose essentiellement sur le principe de non pratique de l’interet (riba) juge usurier par les lois islamiques et prone le partage des risques et profits/pertes. Au cours des dernieres annees, les actifs financiers islamiques ont connu une croissance moyenne de plus de 10%. Cette croissante pourrait etre plus importante dans le futur si le SFI arrive a penetrer vigoureusement d’autres marches au dela de la region du Golfe persique et du sud est asiatique, ou il est presentement concentre. En effet, on constate une sous representativite des banques islamiques dans plusieurs pays occidentaux tels que la France qui regorge d’une forte presence musulmane. Aussi, plusieurs grandes banques occidentales ont des divisions de finance islamique. Cependant, meme si les principes de base de la pratique de la finance islamique pourraient apporter une meilleure ethique a la facon de pratiquer la finance, il n’en demeure pas moins que le SFI n’est pas a l’abri des memes abus que connait le systeme financier conventionnel. Neanmoins, etant donne que le SFI est a ses premiers developpements, pour une meilleure gestion des risques, il est imperatif de mettre en place: (1) une infrastructure de liquidite systemique, (2) une infrastructure juridique, (3) une infrastructure de divulgation de l’information et (4) un mecanisme d’assurance des depots.English Abstract: Islamic finance prohibits the charge of interests (riba), being usury under Islamic law (Sharia), and promotes profit and loss sharing. Over the past years, Islamic financial assets have grown at an average rate of more than 10%. This growth can even increase in the future, if the Islamic Financial System (IFS) succeeds in penetrating other markets beyond the Persian Gulf and South East Asia, where it is currently concentrated. Indeed, Islamic banks are underrepresented in many western countries such as France with a substantial Muslim population. Also, many large western banks have Islamic banking windows. Although, Islamic finance principles can improve the ethics of the current practice of finance, the IFS is not immune against risks facing conventional finance. Nevertheless, being at its early development stages, putting a sound risk management system will require (1) a systemic liquidity infrastructure; (2) a legal infrastructure; (3) an information infrastructure; and (4) financial safety net mechanisms.
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 | 0.002 | 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 | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".