Legislative Obligations of Member States under Cartagena Protocol and the Extent to which the Islamic Republic of Iran has Adhered to such Commitments
Bibliographic record
Abstract
Cartagena protocol on biosafety was ratified in Montreal, Canada, on January 29- 2000. The protocol is an International binding instrument that sets forth strict legislative commitments for member states. As of one year from ratification of Cartagena protocol, Iran’s government vested its Environmental Protection Agency with authority to sign the protocol upon which Iran’s biosafety law subsequently passed the congress in 2003. This paper strive to to deliberate Iran’s legislative commitments under the protocol, the measures are taken by Iran’s government to comply with requirements have been prescribed therein and shall further makes assessment of such measures. The paper also evaluates the extent to which Iran has adhered to general and specific legislative commitments are laid down by the protocol and shall further scrutinizes in critical fashion the various articles have been appointed in Iran’s Biosafety law. It’s seems that Iran’s accession to the Protocol was hasty and without proper evaluation of ensuing implications; Also the government by passing the Biosafety law has obliged to commitments which are beyond the Protocol.
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 | 0.036 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".