The "Cyprus Problem" and the President and Parliament in the "Turkish Republic of Northern Cyprus"
Bibliographic record
Abstract
Any account of the history of Cyprus, and the so-called Cyprus Problem involves contested narratives, and so is likely to be long in order to reflect fully the nuances of the different stories produced by the two communities, Greek and Turkish. At base, the recent history of Cyprus demonstrates that building a multi-ethnic state is never easy, especially when there is no strong national identity, and instead the various groups owe allegiance elsewhere. The island has been home to a Greek-speaking community for two millennia; smaller groups of Maronite Christians (from Lebanon) and Armenian traders have acculturated to the Greek culture of the island, while maintaining their own ethnic identities. All these communities share a common Eastern Christian heritage. The Maronites and Armenians are tiny minorities compared to the Turkish-speaking inhabitants, who trace their ancestry back to settlers brought over from Anatolia after the Ottoman conquest of Cyprus in 1570-71. It is said that some members of the former ruling elite (European crusaders from what are now France and Italy, who ruled the island from the twelfth century until the Ottoman conquest) also became Moslems and integrated into the Turkish community.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".