Ways to Defend Citizenship Rights in Civil Law of the Islamic Republic of Iran and Republic of Tajikistan
Bibliographic record
Abstract
Given enforceable rules and regulations that govern the relations of individuals in society, two kinds of rights can be derived: private and public. When we speak about the citizen and his/her rights, we mean a set of private and public law that governs social relationships. In fact, expression of citizenship rights means that every person enjoys as being a citizen of a country. The importance of the citizenship rights is to the extent that is closely related to place the rule of finds and even some experts believe that a society in which the rights of citizens and the relationship between people and government falters cannot be established. Guarantee of the fundamental rights of citizens, primarily implies by inserting these rights in the constitution of every country act. In other words, it takes an effective step in the process of constitution rule of law, freedom and enjoyment of facilities and take citizenship. But we must consider the fact that the protection and safeguarding of the rights of individual citizens is on the shoulders of all powers and government agencies that have the necessary measures to protect the rights of citizens. Besides, their executive units operate in all administrative formalities the rights of citizens and legal and in the case of not conforming citizens' rights are not overwhelm the device government should have a competent judicial authorities that the rights of individuals against the government defend the principles of a fair trial. So the fundamental rights of citizens included in the constitution and other laws, required to comply with these rights by the state, there is a competent judicial body that complaints about violation of their people by governmental agencies and monitor governmental bodies are responsible in this regard. All of them are standards implementation and guarantee of the rights of citizenship in a democratic society. Comparative analysis of compliance standards in the legal system of Iran and Tajikistan is a major point of discussion at the end, to recognizing the strengths and weaknesses of both countries and richer the implementation and monitoring of the implementation of the rights to use the experiences of the countries.
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| 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".