Lineage Influence on Nationality from Islamic Republic of Iran law View Point
Bibliographic record
Abstract
Nationality is an important issue in governments’ and their national’s international relationships. In this article, we're trying to have an examination on the kind of lineage which is considered as a criterion in giving nationality according to the blood principle. What's that kind of lineage? What's the criterion; is it only the legitimated lineage related to the children who were born lawfully? Or natural children who are born unlawfully and illegally can also get the nationality based on the blood principle from their parents, just like legitimated children? The legal lineage has been supported in the Iranian civil law's note 2 of the article 976. In the Iranian nationality code, the supported lineage based on the blood principle is the legal lineage; so the natural child is recognized as Iranian relying on the note 3 of the article 976(based on jus soli) in the Iranian civil law. Another issue to be considered is that, when's the best time to A. Coagulate the sperm for the child? B. Give birth to the child?C. Marriage for the parents?D. Considering government's interestsE. Authorizing the childUltimately, different comments and suggestions are considered to observe the rights of both the child and the government.
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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 | 0.003 | 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 | 0.007 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".