The Effect of The Implementation of the IAS 39 on the Jordanian Investors
Bibliographic record
Abstract
IAS 39 has been described as being the most difficult standard to be implemented and understand The main aims of this research were to examine the effect of the implementation of IAS 39 on the investment's decisions of individuals and institutions in Jordan; to evaluate the understanding of IAS 39 by Jordanian investors and the effect of their understanding upon their investment decisions; and to examine the effect of some factors such as the degree of knowledge and the nature (individual or institution) of the investor on the degree of understanding of this IAS because. In the current study, Firstly, the results supported the first hypothesis that the implementation of IAS 39 would affect the reported profits of companies and, consequently, Jordanian investors would decrease their investment in these companies. Secondly, no significant differences were found between different fields of education, different professional certificates, and different years of experience with regards to the understanding of the implementation of IAS 39 and its effect; but, statistical differences were found between different levels of education at the 5% level, and between individual and institutional investors at the 10% level.
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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 | 0.007 | 0.030 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".