Stem Cell Statute in Jordan: Leading the Way
Bibliographic record
Abstract
The use of stem cells in research has caused much controversy and ethical dilemma. The primary source of stem cells is human embryos, a source which has been confronted with objections based on ethical, moral, and religious positions. Jordan has passed the first of its-kind Statute in the region, aiming at regulating the use of stem cells both for therapeutic and research purposes. The Statute adopted a regulatory approach between the restrictive and intermediate. The Statute, however, pays more attention to stem cell banking in many of its articles. Many critical aspects in regulating stem cell research activities are overlooked. This is including but not limited to the process of informed consent, protecting privacy, maintaining confidentiality, the need for a national entity responsible for regulating embryonic stem cell (ESC) research, and requirements of monitoring activity. The authors recommend further review of the current Statute in light of the deficiencies discussed so as to develop a more comprehensive and coherent Statute.
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 | 0.027 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.013 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".