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Record W2152875168 · doi:10.1177/0022343309339245

Negotiating the Right of Return

2009· article· en· W2152875168 on OpenAlexaff
Neophytos Loizides, Marco A. Antoniades

Bibliographic record

VenueJournal of Peace Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRefugeeTurkishIncentiveNegotiationReciprocity (cultural anthropology)ParallelsPolitical scienceImmigrationPolitical economySociologyEconomicsLawMarket economyOperations management

Abstract

fetched live from OpenAlex

Abstract Negotiating the right of return is a central issue in post-conflict societies aiming to resolve tensions between human rights issues and security concerns. Peace proposals often fail to carefully balance these tensions or to identify incentives and linkages that enable refugee return. To address this gap, the article puts forward an alternative arrangement in negotiating refugee rights currently being considered in the bilateral negotiations in Cyprus. Previous peace plans for the reunification of the island emphasized primarily Turkish Cypriot security and stipulated a maximum number of Greek Cypriot refugees eligible to return under future Turkish Cypriot administration. The authors’ alternative suggests a minimum threshold of Greek Cypriots refugees plus self-adjustable incentives for the Turkish Cypriot community to accept the rest. The article reviews different options including linking actual numbers of returnees with naturalizations for Turkish settlers or immigrants, Turkey’s EU-accession, and territorial re-adjustments across the federal border. In this proposed formula, the Greek Cypriot side would reserve concessions until refugee return takes place, while the Turkish Cypriot community would be ‘demographically secure’ under all scenarios by means of re-adjustable naturalization and immigration quotas. Drawing parallels with comparable cases, the article emphasizes the importance of making reciprocity and linkages explicit in post-conflict societies.

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 imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.018
Scholarly communication0.0070.009
Open science0.0020.011
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0180.002

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.

Opus teacher head0.070
GPT teacher head0.463
Teacher spread0.393 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2009
Admission routes1
Has abstractyes

Explore more

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