Conflict Detection in the Ownership Documents and Procedure to Deal with It
Bibliographic record
Abstract
This research is procedure of dealing with adverse ownership documents that research method is analytical and library and descriptive and has been collected by relying on the texts of laws and procedures and circulars, articles, researches, and books that have been published on this subject and as well as experimental observations of the author. Reference to adjust and register contracts and ownership documents are notary public offices in accordance with Article one of a law of notary public offices approved 25 July 1977. Registration offices as higher than the reference of notary public offices have had a major and fundamental role in issuing ownership documents in accordance with provisions of the law the Real Estate Registration approved in 1931, as in accordance with Article 22 of law of Real Estate Registration as soon as the land property was registered in a notary public office, the government will know only a person as an owner who the land property has been registered in his/her name or a person who mentioned land property has been transferred to him/her and this transfer has been registered in a notary public office or the mentioned land property is reached from formal owner for him/her by inheritance. With increasing population growth, the differences have been achieved and courts of Iran have been encountered for years with the problem of litigation arising from the way of transfer of immovable land property. Islamic law has allowed this transition only with the agreement of two people, but the text of the law of registration has created this suspicion that the transfer must be done by an official document. It has been tried in this research that we examine the conditions of meeting the conflict of land property and conflict detection in ownership documents and we explain the role of court in addressing the adverse estates and administrative penalties for offenders with the duties of the Supreme Council for Registration.
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 | 0.025 | 0.119 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".