Still Unrecognized State “Turkish Republic of Northern Cyprus” in the Context of the Cyprus Negotiations: Status of the TRNC’ Court Decisions
Bibliographic record
Abstract
The issue of the recognition of the TRNC brings specific constraints because of the influence of the Cyprus peace talks, which have been ongoing for 50 years. After the new era started in 2014, the TRNC authorities’ efforts to reach an agreement and their struggle to make the TRNC recognized have been obstructed by barriers placed by the southern Cyprus administration. Each of the sides in the peace talks approaches each other’s demands positively or negatively. One of the other important problems is whether the decisions given by the TRNC Courts would create an effect like the court decisions given by the courts of any recognized states or not. In order for the court decisions of the TRNC judiciary to have the necessary effects, the TRNC must become effectively an equal on the negotiation table and a directly recognized state. Turkey has enabled the TRNC judiciary decisions to have an effect in Turkey by signing protocols with the TRNC, but what is the status of related court decisions in other countries? In this framework, this study aims to analyse the court decisions in other unrecognized states via the document analysis method. According to the findings, the TRNC’s judiciary decisions can have an effect in other countries. Additionally, the TRNC is a recognized state at least in a limited (indirect) manner and has political equality, but this needs to be improved further via direct recognition.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".