Performance of Islamic financial institutions: Viable option in Canada?
Bibliographic record
Abstract
The North American financial system is one of the only alternatives available to individuals and businesses to be able to deal with all matters relating to savings and investment. By analyzing the two economic crises (1929 & 2008), it’s possible to see how fragile the financial system can be at times. All these events have made consumers more conscientious about managing their money and consumption. Many individuals see traditional finance as the only way to properly secure their future savings. Islamic finance (IF) has been growing rapidly in recent years. This increase in popularity is mainly due to the fact that, in some countries, Islamic finance is the only option available. There is a growing number of countries adopting Islamic finance, but the concept remains almost unknown in Canada and other developed countries. The Canadian financial market is considered to be very conservative and has been using the same practices for a long time. The economies of some countries such as England have adopted a strategy of including Islamic finance in their market and this has produced very satisfactory results. This type of practice could be relevant to the Canadian market.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".