Company Controller's Role as One Way to Rescue Companies under Jordanian's Insolvency Act 2018 "Comparative Study"
Bibliographic record
Abstract
The main objective of this article is to shed light on the new emergence on the Jordanian insolvency Act no. 21 of 2018, after it became independent from the commercial law, specifically the role of the companies general controller through the application of the provisions of this law to rescue company as much as possible from stopping running its business activates and then its insolvency. In this article, the Jordanian law was compared with English law in order to compel Jordanian legislator to benefit from other legislation, given that the Jordanian law is still recent. This article dealt with the issue of corporate rescue and the role of the company controller in starting company insolvency procedures, in accordance with the provisions of the Jordanian Insolvency Act 2018; with refer to the provisions of the UNCITRAL Insolvency Legislative Guide 2004. This article concluded that Jordanian legislator must develop a rescue culture by putting in place protection for insolvent companies, such as a moratorium and expanding the means of rescue, rather than limiting the rescue culture to the reorganization plan that is adopted by the UNCITRAL Legislative Guide of Insolvency 2004. In addition, Jordanian legislators must make some legal amendments that are in line with recommendations made by legal authorities within the framework of the company controller role in the Jordanian Insolvency Act 2018.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".