The Islamic economic option (IEO) and the challenge of faith to the New World Order.
Bibliographic record
Abstract
Islam is an ever-present reality in the political, economic and social life throughout the Arab-Islamic world. In this region, there exists a pervasive notion that Islam should be an integral part of all economic and political aspects of the state. At present, many nations across the Arab-Islamic world face political and economic instability and uncertainty. Since the legitimacy of many regimes in the region is consistently called into question, and since Islamic movements and political parties often form the strongest opposition, the emergence of an Islamic government is a strong possibility. Overall, the purpose of this thesis is to examine the concept of an Islamic Economic Option. This thesis looks at what extent Islamic economic concepts differ from Western economic models. It asks whether or not an IEO could serve as a practical alternative to Western models and form a program that is compatible with the global order. Given an Islamic opposition movement's hypothetical rise to power, this thesis also asks what sort of economic strategy the group would follow and if it would retreat or remain involved in the global economy. (Abstract shortened by UMI.) Source: Masters Abstracts International, Volume: 44-03, page: 1215. Thesis (M.A.)--University of Windsor (Canada), 2005.
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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 | 0.001 | 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 | 0.002 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".